{"data":{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:33052139", "kind": "science-record", "revision": 8, "content_hash": "sha256:ddac97a272989b5d2ef92179a1354ab331f43d3fd91a636e16b107e66dfb5a55", "created_at": "2026-11-01T15:41:13Z", "updated_at": "2026-11-01T22:02:20Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Weighted gene coexpression network analysis identifies the key role associated with acute coronary syndrome.", "doi": "10.18632/aging.103859", "pmid": "33052139", "authors": ["Yong Wang", "Liu Miao", "Lin Tao", "Jian-Hong Chen", "Chuan-Meng Zhu", "Ye Li", "Bin Qi", "Fei Liao", "Rong-Shan Li"], "journal": "Aging", "year": 2020, "abstract": "The present study sought to identify potential hub genes and pathways of acute coronary syndrome (ACS). We downloaded the dataset (GSE56045) from the Gene Expression Omnibus (GEO) database and analyzed weighted gene coexpression networks (WGCNA). Gene Ontology annotation, Disease Ontology and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed using R software. The protein-protein interaction (PPI) network was constructed using Cytoscape, and the Molecular Complex Detection app was employed to identify significant modules and hub genes. The hub genes were then validated in other microarrays and patients by RT-PCR. Two modules were identified and associated with coronary artery disease (CAD) and included 219 genes. After function and PPI analyses, 24 genes were identified to be potentially associated with CAD. Linear correlation was performed to calculate the relationship between the gene expression levels and coronary artery calcification score and found that CCR7 (R = -0.081, P = 0.0065), CD2 (R = -0.075, P = 0.0012), CXCR5 (R = -0.065, P = 0.029) and IL7R (R = -0.06, P = 0.043) should be validated in other dataset. By comparing the gene expression levels in different groups in GSE23561, GSE34822, GSE59867, GSE60993 and GSE129935, only two genes (CCR7 and CXCR5) showed significance. The nomogram showed that CXCR5 showed the risk of ACS. Further analysis in chest patients found CXCR5 played a key role resulting in ACS. Our WGCNA analysis identified CXCR5 as a risk factor for ACS, and the potential pathogenesis may be associated with immune inflammation.", "claims": [{"id": "claim-method", "statement": "First, we analyzed the relationship between the expression level of these 24 genes and the coronary artery calcification score by linear correlation in GSE56045.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33052139", "locator": "sections[7] \"Dataset validation\" paragraph 2", "quote": "First, we analyzed the relationship between the expression level of these 24 genes and the coronary artery calcification score by linear correlation in GSE56045."}], "state": "complete"}, {"id": "claim-data-access", "statement": "We downloaded GSE56045 [21] microarray data from GEO (Gene Expression Omnibus, http://www.ncbi.nlm.nih.gov/geo/). These datasets were based on the platform of the GPL10558 Illumina HumanHT-12 V4.0 expression BeadChip. GSE56045 contains 1,202 peripheral blood samples, as well as clinical information, such as age, whole-blood cell count, and the coronary artery calcification plaque score.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33052139", "locator": "sections[11] \"Microarray data\" paragraph 2", "quote": "We downloaded GSE56045 [21] microarray data from GEO (Gene Expression Omnibus, http://www.ncbi.nlm.nih.gov/geo/). These datasets were based on the platform of the GPL10558 Illumina HumanHT-12 V4.0 expression BeadChip. GSE56045 contains 1,202 peripheral blood samples, as well as clinical information, such as age, whole-blood cell count, and the coronary artery calcification plaque score."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "partial", "objective": null, "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:33052139"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "complete", "blocked_on": null, "description": "The GEO series accession resolves and its sample accessions are listed. This lane did not download the dataset or read its licence.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE129935"], "outputs": ["the source data with its repository provenance"], "instruments": [], "reagents": []}, {"id": "run_analysis", "order": 3, "name": "Run the published analysis", "kind": "analysis", "state": "blocked", "blocked_on": "method:group_comparison_wilcoxon", "description": "Apply the paper's statistical method to the resolved series and compare the result with the published target.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE129935"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": ["step:run_analysis blocked on method:group_comparison_wilcoxon"]}, "data": {"state": "partial", "assets": [{"id": "source:pmid:33052139", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.18632/aging.103859", "sha256": "sha256:76a402c7d1e26548d6dce2148953719857160a198fb8eb4d42dbf4f6ed879db8", "bytes": 38333, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.18632/aging.103859", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC7732301", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE129935", "role": "raw", "format": "geo-series", "media_type": "application/vnd.ncbi.geo-series+json", "uri": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE129935", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE129935", "version": null, "note": "We downloaded GSE56045 [21] microarray data from GEO (Gene Expression Omnibus, http://www.ncbi.nlm.nih.gov/geo/). These datasets were based on the platform of the GPL10558 Illumina HumanHT-12 V4.0 expression BeadChip. GSE56045 contains 1,202 peripheral blood samples, as well as clinical information, such as age, whole-blood cell count, and the coronary artery calcification plaque score.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "We downloaded GSE56045 [21] microarray data from GEO (Gene Expression Omnibus, http://www.ncbi.nlm.nih.gov/geo/). These datasets were based on the platform of the GPL10558 Illumina HumanHT-12 V4.0 expression BeadChip. GSE56045 contains 1,202 peripheral blood samples, as well as clinical information, such as age, whole-blood cell count, and the coronary artery calcification plaque score.", "access_statement_kind": "repository_route_statement", "sample_accessions": ["GSM3728312", "GSM3728313", "GSM3728314", "GSM3728315", "GSM3728316", "GSM3728317", "GSM3728318", "GSM3728319", "GSM3728320", "GSM3728321", "GSM3728322", "GSM3728323", "GSM3728324", "GSM3728325", "GSM3728326", "GSM3728327", "GSM3728328", "GSM3728329", "GSM3728330", "GSM3728331", "GSM3728332", "GSM3728333", "GSM3728334", "GSM3728335", "GSM3728336", "GSM3728337", "GSM3728338", "GSM3728339", "GSM3728340", "GSM3728341", "GSM3728342", "GSM3728343", "GSM3728344", "GSM3728345", "GSM3728346", "GSM3728347"], "sample_count": 36, "group_sizes": null, "group_sizes_basis": null, "platform": "18573", "taxon": "Homo sapiens", "title": "RNA sequencing human monocytes", "resolution_checked_at": "2026-11-01T15:39:54Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "data:geo:GSE23561", "role": "raw", "format": "geo-series", "media_type": "application/vnd.ncbi.geo-series+json", "uri": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE23561", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE23561", "version": null, "note": "We downloaded GSE56045 [21] microarray data from GEO (Gene Expression Omnibus, http://www.ncbi.nlm.nih.gov/geo/). These datasets were based on the platform of the GPL10558 Illumina HumanHT-12 V4.0 expression BeadChip. GSE56045 contains 1,202 peripheral blood samples, as well as clinical information, such as age, whole-blood cell count, and the coronary artery calcification plaque score.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "We downloaded GSE56045 [21] microarray data from GEO (Gene Expression Omnibus, http://www.ncbi.nlm.nih.gov/geo/). These datasets were based on the platform of the GPL10558 Illumina HumanHT-12 V4.0 expression BeadChip. GSE56045 contains 1,202 peripheral blood samples, as well as clinical information, such as age, whole-blood cell count, and the coronary artery calcification plaque score.", "access_statement_kind": "repository_route_statement", "sample_accessions": ["GSM577963", "GSM577964", "GSM577965", "GSM577966", "GSM577967", "GSM577968", "GSM577969", "GSM577970", "GSM577971", "GSM577972", "GSM577973", "GSM577974", "GSM577975", "GSM577976", "GSM577977", "GSM577978", "GSM577979", "GSM577980", "GSM577981", "GSM577982", "GSM577983", "GSM577984", "GSM577985", "GSM577986", "GSM577987", "GSM577988", "GSM577989", "GSM577990", "GSM577991", "GSM577992", "GSM577993", "GSM577994", "GSM577995", "GSM577996", "GSM577997"], "sample_count": 35, "group_sizes": null, "group_sizes_basis": null, "platform": "10775", "taxon": "Homo sapiens", "title": "Peripheral blood gene expression profiles in metabolic syndrome, coronary artery disease and type 2 diabetes", "resolution_checked_at": "2026-11-01T15:39:54Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "data:geo:GSE34822", "role": "raw", "format": "geo-series", "media_type": "application/vnd.ncbi.geo-series+json", "uri": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE34822", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE34822", "version": null, "note": "We downloaded GSE56045 [21] microarray data from GEO (Gene Expression Omnibus, http://www.ncbi.nlm.nih.gov/geo/). These datasets were based on the platform of the GPL10558 Illumina HumanHT-12 V4.0 expression BeadChip. GSE56045 contains 1,202 peripheral blood samples, as well as clinical information, such as age, whole-blood cell count, and the coronary artery calcification plaque score.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "We downloaded GSE56045 [21] microarray data from GEO (Gene Expression Omnibus, http://www.ncbi.nlm.nih.gov/geo/). These datasets were based on the platform of the GPL10558 Illumina HumanHT-12 V4.0 expression BeadChip. GSE56045 contains 1,202 peripheral blood samples, as well as clinical information, such as age, whole-blood cell count, and the coronary artery calcification plaque score.", "access_statement_kind": "repository_route_statement", "sample_accessions": ["GSM855910", "GSM855911", "GSM855912", "GSM855913", "GSM855914", "GSM855915", "GSM855916", "GSM855917", "GSM855918", "GSM855919", "GSM855920", "GSM855921", "GSM855922", "GSM855923", "GSM855924", "GSM855925", "GSM855926", "GSM855927", "GSM855928", "GSM855929", "GSM855930", "GSM855931", "GSM855932", "GSM855933", "GSM855934", "GSM855935", "GSM855936", "GSM855937", "GSM855938", "GSM855939", "GSM855940", "GSM855941"], "sample_count": 32, "group_sizes": null, "group_sizes_basis": null, "platform": "6480", "taxon": "Homo sapiens", "title": "Transcriptome Analysis in Patients with Progressive Coronary Artery Disease", "resolution_checked_at": "2026-11-01T15:39:54Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "data:geo:GSE56045", "role": "raw", "format": "geo-series", "media_type": "application/vnd.ncbi.geo-series+json", "uri": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE56045", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE56045", "version": null, "note": "We downloaded GSE56045 [21] microarray data from GEO (Gene Expression Omnibus, http://www.ncbi.nlm.nih.gov/geo/). These datasets were based on the platform of the GPL10558 Illumina HumanHT-12 V4.0 expression BeadChip. GSE56045 contains 1,202 peripheral blood samples, as well as clinical information, such as age, whole-blood cell count, and the coronary artery calcification plaque score.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "We downloaded GSE56045 [21] microarray data from GEO (Gene Expression Omnibus, http://www.ncbi.nlm.nih.gov/geo/). These datasets were based on the platform of the GPL10558 Illumina HumanHT-12 V4.0 expression BeadChip. GSE56045 contains 1,202 peripheral blood samples, as well as clinical information, such as age, whole-blood cell count, and the coronary artery calcification plaque score.", "access_statement_kind": "repository_route_statement", "sample_accessions": ["GSM1352002", "GSM1352003", "GSM1352004", "GSM1352005", "GSM1352006", "GSM1352007", "GSM1352008", "GSM1352009", "GSM1352010", "GSM1352011", "GSM1352012", "GSM1352013", "GSM1352014", "GSM1352015", "GSM1352016", "GSM1352017", "GSM1352018", "GSM1352019", "GSM1352020", "GSM1352021", "GSM1352022", "GSM1352023", "GSM1352024", "GSM1352025", "GSM1352026", "GSM1352027", "GSM1352028", "GSM1352029", "GSM1352030", "GSM1352031", "GSM1352032", "GSM1352033", "GSM1352034", "GSM1352035", "GSM1352036", "GSM1352037", "GSM1352038", "GSM1352039", "GSM1352040", "GSM1352041", "GSM1352042", "GSM1352043", "GSM1352044", "GSM1352045", "GSM1352046", "GSM1352047", "GSM1352048", "GSM1352049", "GSM1352050", "GSM1352051", "GSM1352052", "GSM1352053", "GSM1352054", 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"GSM1352481", "GSM1352482", "GSM1352483", "GSM1352484", "GSM1352485", "GSM1352486", "GSM1352487", "GSM1352488", "GSM1352489", "GSM1352490", "GSM1352491", "GSM1352492", "GSM1352493", "GSM1352494", "GSM1352495", "GSM1352496", "GSM1352497", "GSM1352498", "GSM1352499", "GSM1352500", "GSM1352501", "GSM1352502", "GSM1352503", "GSM1352504", "GSM1352505", "GSM1352506", "GSM1352507", "GSM1352508", "GSM1352509", "GSM1352510", "GSM1352511", "GSM1352512", "GSM1352513", "GSM1352514", "GSM1352515", "GSM1352516", "GSM1352517", "GSM1352518", "GSM1352519", "GSM1352520", "GSM1352521", "GSM1352522", "GSM1352523", "GSM1352524", "GSM1352525", "GSM1352526", "GSM1352527", "GSM1352528", "GSM1352529", "GSM1352530", "GSM1352531", "GSM1352532", "GSM1352533", "GSM1352534", "GSM1352535", "GSM1352536", "GSM1352537", "GSM1352538", "GSM1352539", "GSM1352540", "GSM1352541", "GSM1352542", "GSM1352543", "GSM1352544", "GSM1352545", "GSM1352546", "GSM1352547", "GSM1352548", "GSM1352549", "GSM1352550", "GSM1352551", "GSM1352552", "GSM1352553", "GSM1352554", "GSM1352555", "GSM1352556", "GSM1352557", "GSM1352558", "GSM1352559", "GSM1352560", "GSM1352561", "GSM1352562", "GSM1352563", "GSM1352564", "GSM1352565", "GSM1352566", "GSM1352567", "GSM1352568", "GSM1352569", "GSM1352570", "GSM1352571", "GSM1352572", "GSM1352573", "GSM1352574", "GSM1352575", "GSM1352576", "GSM1352577", "GSM1352578", "GSM1352579", "GSM1352580", "GSM1352581", "GSM1352582", "GSM1352583", "GSM1352584", "GSM1352585", "GSM1352586", "GSM1352587", "GSM1352588", "GSM1352589", "GSM1352590", "GSM1352591", "GSM1352592", "GSM1352593", "GSM1352594", "GSM1352595", "GSM1352596", "GSM1352597", "GSM1352598", "GSM1352599", "GSM1352600", "GSM1352601", "GSM1352602", "GSM1352603", "GSM1352604", "GSM1352605", "GSM1352606", "GSM1352607", "GSM1352608", "GSM1352609", "GSM1352610", "GSM1352611", "GSM1352612", "GSM1352613", "GSM1352614", "GSM1352615", "GSM1352616", "GSM1352617", "GSM1352618", "GSM1352619", "GSM1352620", "GSM1352621", "GSM1352622", "GSM1352623", "GSM1352624", "GSM1352625", "GSM1352626", "GSM1352627", "GSM1352628", "GSM1352629", "GSM1352630", "GSM1352631", "GSM1352632", "GSM1352633", "GSM1352634", "GSM1352635", "GSM1352636", "GSM1352637", "GSM1352638", "GSM1352639", "GSM1352640", "GSM1352641", "GSM1352642", "GSM1352643", "GSM1352644", "GSM1352645", "GSM1352646", "GSM1352647", "GSM1352648", "GSM1352649", "GSM1352650", "GSM1352651", "GSM1352652", "GSM1352653", "GSM1352654", "GSM1352655", "GSM1352656", "GSM1352657", "GSM1352658", "GSM1352659", "GSM1352660", "GSM1352661", "GSM1352662", "GSM1352663", "GSM1352664", "GSM1352665", "GSM1352666", "GSM1352667", "GSM1352668", "GSM1352669", "GSM1352670", "GSM1352671", "GSM1352672", "GSM1352673", "GSM1352674", "GSM1352675", "GSM1352676", "GSM1352677", "GSM1352678", "GSM1352679", "GSM1352680", "GSM1352681", "GSM1352682", "GSM1352683", "GSM1352684", "GSM1352685", "GSM1352686", "GSM1352687", "GSM1352688", "GSM1352689", "GSM1352690", "GSM1352691", "GSM1352692", "GSM1352693", "GSM1352694", "GSM1352695", "GSM1352696", "GSM1352697", "GSM1352698", "GSM1352699", "GSM1352700", "GSM1352701", "GSM1352702", "GSM1352703", "GSM1352704", "GSM1352705", "GSM1352706", "GSM1352707", "GSM1352708", "GSM1352709", "GSM1352710", "GSM1352711", "GSM1352712", "GSM1352713", "GSM1352714", "GSM1352715", "GSM1352716", "GSM1352717", "GSM1352718", "GSM1352719", "GSM1352720", "GSM1352721", "GSM1352722", "GSM1352723", "GSM1352724", "GSM1352725", "GSM1352726", "GSM1352727", "GSM1352728", "GSM1352729", "GSM1352730", "GSM1352731", "GSM1352732", "GSM1352733", "GSM1352734", "GSM1352735", "GSM1352736", "GSM1352737", "GSM1352738", "GSM1352739", "GSM1352740", "GSM1352741", "GSM1352742", "GSM1352743", "GSM1352744", "GSM1352745", "GSM1352746", "GSM1352747", "GSM1352748", "GSM1352749", "GSM1352750", "GSM1352751", "GSM1352752", "GSM1352753", "GSM1352754", "GSM1352755", "GSM1352756", "GSM1352757", "GSM1352758", "GSM1352759", "GSM1352760", "GSM1352761", "GSM1352762", "GSM1352763", "GSM1352764", "GSM1352765", "GSM1352766", "GSM1352767", "GSM1352768", "GSM1352769", "GSM1352770", "GSM1352771", "GSM1352772", "GSM1352773", "GSM1352774", "GSM1352775", "GSM1352776", "GSM1352777", "GSM1352778", "GSM1352779", "GSM1352780", "GSM1352781", "GSM1352782", "GSM1352783", "GSM1352784", "GSM1352785", "GSM1352786", "GSM1352787", "GSM1352788", "GSM1352789", "GSM1352790", "GSM1352791", "GSM1352792", "GSM1352793", "GSM1352794", "GSM1352795", "GSM1352796", "GSM1352797", "GSM1352798", "GSM1352799", "GSM1352800", "GSM1352801", "GSM1352802", "GSM1352803", "GSM1352804", "GSM1352805", "GSM1352806", "GSM1352807", "GSM1352808", "GSM1352809", "GSM1352810", "GSM1352811", "GSM1352812", "GSM1352813", "GSM1352814", "GSM1352815", "GSM1352816", "GSM1352817", "GSM1352818", "GSM1352819", "GSM1352820", "GSM1352821", "GSM1352822", "GSM1352823", "GSM1352824", "GSM1352825", "GSM1352826", "GSM1352827", "GSM1352828", "GSM1352829", "GSM1352830", "GSM1352831", "GSM1352832", "GSM1352833", "GSM1352834", "GSM1352835", "GSM1352836", "GSM1352837", "GSM1352838", "GSM1352839", "GSM1352840", "GSM1352841", "GSM1352842", "GSM1352843", "GSM1352844", "GSM1352845", "GSM1352846", "GSM1352847", "GSM1352848", "GSM1352849", "GSM1352850", "GSM1352851", "GSM1352852", "GSM1352853", "GSM1352854", "GSM1352855", "GSM1352856", "GSM1352857", "GSM1352858", "GSM1352859", "GSM1352860", "GSM1352861", "GSM1352862", "GSM1352863", "GSM1352864", "GSM1352865", "GSM1352866", "GSM1352867", "GSM1352868", "GSM1352869", "GSM1352870", "GSM1352871", "GSM1352872", "GSM1352873", "GSM1352874", "GSM1352875", "GSM1352876", "GSM1352877", "GSM1352878", "GSM1352879", "GSM1352880", "GSM1352881", "GSM1352882", "GSM1352883", "GSM1352884", "GSM1352885", "GSM1352886", "GSM1352887", "GSM1352888", "GSM1352889", "GSM1352890", "GSM1352891", "GSM1352892", "GSM1352893", "GSM1352894", "GSM1352895", "GSM1352896", "GSM1352897", "GSM1352898", "GSM1352899", "GSM1352900", "GSM1352901", "GSM1352902", "GSM1352903", "GSM1352904", "GSM1352905", "GSM1352906", "GSM1352907", "GSM1352908", "GSM1352909", "GSM1352910", "GSM1352911", "GSM1352912", "GSM1352913", "GSM1352914", "GSM1352915", "GSM1352916", "GSM1352917", "GSM1352918", "GSM1352919", "GSM1352920", "GSM1352921", "GSM1352922", "GSM1352923", "GSM1352924", "GSM1352925", "GSM1352926", "GSM1352927", "GSM1352928", "GSM1352929", "GSM1352930", "GSM1352931", "GSM1352932", "GSM1352933", "GSM1352934", "GSM1352935", "GSM1352936", "GSM1352937", "GSM1352938", "GSM1352939", "GSM1352940", "GSM1352941", "GSM1352942", "GSM1352943", "GSM1352944", "GSM1352945", "GSM1352946", "GSM1352947", "GSM1352948", "GSM1352949", "GSM1352950", "GSM1352951", "GSM1352952", "GSM1352953", "GSM1352954", "GSM1352955", "GSM1352956", "GSM1352957", "GSM1352958", "GSM1352959", "GSM1352960", "GSM1352961", "GSM1352962", "GSM1352963", "GSM1352964", "GSM1352965", "GSM1352966", "GSM1352967", "GSM1352968", "GSM1352969", "GSM1352970", "GSM1352971", "GSM1352972", "GSM1352973", "GSM1352974", "GSM1352975", "GSM1352976", "GSM1352977", "GSM1352978", "GSM1352979", "GSM1352980", "GSM1352981", "GSM1352982", "GSM1352983", "GSM1352984", "GSM1352985", "GSM1352986", "GSM1352987", "GSM1352988", "GSM1352989", "GSM1352990", "GSM1352991", "GSM1352992", "GSM1352993", "GSM1352994", "GSM1352995", "GSM1352996", "GSM1352997", "GSM1352998", "GSM1352999", "GSM1353000", "GSM1353001", "GSM1353002", "GSM1353003", "GSM1353004", "GSM1353005", "GSM1353006", "GSM1353007", "GSM1353008", "GSM1353009", "GSM1353010", "GSM1353011", "GSM1353012", "GSM1353013", "GSM1353014", "GSM1353015", "GSM1353016", "GSM1353017", "GSM1353018", "GSM1353019", "GSM1353020", "GSM1353021", "GSM1353022", "GSM1353023", "GSM1353024", "GSM1353025", "GSM1353026", "GSM1353027", "GSM1353028", "GSM1353029", "GSM1353030", "GSM1353031", "GSM1353032", "GSM1353033", "GSM1353034", "GSM1353035", "GSM1353036", "GSM1353037", "GSM1353038", "GSM1353039", "GSM1353040", "GSM1353041", "GSM1353042", "GSM1353043", "GSM1353044", "GSM1353045", "GSM1353046", "GSM1353047", "GSM1353048", "GSM1353049", "GSM1353050", "GSM1353051", "GSM1353052", "GSM1353053", "GSM1353054", "GSM1353055", "GSM1353056", "GSM1353057", "GSM1353058", "GSM1353059", "GSM1353060", "GSM1353061", "GSM1353062", "GSM1353063", "GSM1353064", "GSM1353065", "GSM1353066", "GSM1353067", "GSM1353068", "GSM1353069", "GSM1353070", "GSM1353071", "GSM1353072", "GSM1353073", "GSM1353074", "GSM1353075", "GSM1353076", "GSM1353077", "GSM1353078", "GSM1353079", "GSM1353080", "GSM1353081", "GSM1353082", "GSM1353083", "GSM1353084", "GSM1353085", "GSM1353086", "GSM1353087", "GSM1353088", "GSM1353089", "GSM1353090", "GSM1353091", "GSM1353092", "GSM1353093", "GSM1353094", "GSM1353095", "GSM1353096", "GSM1353097", "GSM1353098", "GSM1353099", "GSM1353100", "GSM1353101", "GSM1353102", "GSM1353103", "GSM1353104", "GSM1353105", "GSM1353106", "GSM1353107", "GSM1353108", "GSM1353109", "GSM1353110", "GSM1353111", "GSM1353112", "GSM1353113", "GSM1353114", "GSM1353115", "GSM1353116", "GSM1353117", "GSM1353118", "GSM1353119", "GSM1353120", "GSM1353121", "GSM1353122", "GSM1353123", "GSM1353124", "GSM1353125", "GSM1353126", "GSM1353127", "GSM1353128", "GSM1353129", "GSM1353130", "GSM1353131", "GSM1353132", "GSM1353133", "GSM1353134", "GSM1353135", "GSM1353136", "GSM1353137", "GSM1353138", "GSM1353139", "GSM1353140", "GSM1353141", "GSM1353142", "GSM1353143", "GSM1353144", "GSM1353145", "GSM1353146", "GSM1353147", "GSM1353148", "GSM1353149", "GSM1353150", "GSM1353151", "GSM1353152", "GSM1353153", "GSM1353154", "GSM1353155", "GSM1353156", "GSM1353157", "GSM1353158", "GSM1353159", "GSM1353160", "GSM1353161", "GSM1353162", "GSM1353163", "GSM1353164", "GSM1353165", "GSM1353166", "GSM1353167", "GSM1353168", "GSM1353169", "GSM1353170", "GSM1353171", "GSM1353172", "GSM1353173", "GSM1353174", "GSM1353175", "GSM1353176", "GSM1353177", "GSM1353178", "GSM1353179", "GSM1353180", "GSM1353181", "GSM1353182", "GSM1353183", "GSM1353184", "GSM1353185", "GSM1353186", "GSM1353187", "GSM1353188", "GSM1353189", "GSM1353190", "GSM1353191", "GSM1353192", "GSM1353193", "GSM1353194", "GSM1353195", "GSM1353196", "GSM1353197", "GSM1353198", "GSM1353199", "GSM1353200", "GSM1353201", "GSM1353202", "GSM1353203"], "sample_count": 1202, "group_sizes": null, "group_sizes_basis": null, "platform": "10558", "taxon": "Homo sapiens", "title": "Transcriptomics and methylomics of human monocytes [transcriptome]", "resolution_checked_at": "2026-11-01T15:39:54Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "data:geo:GSE59867", "role": "raw", "format": "geo-series", "media_type": "application/vnd.ncbi.geo-series+json", "uri": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE59867", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE59867", "version": null, "note": "We downloaded GSE56045 [21] microarray data from GEO (Gene Expression Omnibus, http://www.ncbi.nlm.nih.gov/geo/). These datasets were based on the platform of the GPL10558 Illumina HumanHT-12 V4.0 expression BeadChip. GSE56045 contains 1,202 peripheral blood samples, as well as clinical information, such as age, whole-blood cell count, and the coronary artery calcification plaque score.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "We downloaded GSE56045 [21] microarray data from GEO (Gene Expression Omnibus, http://www.ncbi.nlm.nih.gov/geo/). These datasets were based on the platform of the GPL10558 Illumina HumanHT-12 V4.0 expression BeadChip. GSE56045 contains 1,202 peripheral blood samples, as well as clinical information, such as age, whole-blood cell count, and the coronary artery calcification plaque score.", "access_statement_kind": "repository_route_statement", "sample_accessions": ["GSM1448335", "GSM1448336", "GSM1448337", "GSM1448338", "GSM1448339", "GSM1448340", "GSM1448341", "GSM1448342", "GSM1448343", "GSM1448344", "GSM1448345", "GSM1448346", "GSM1448347", "GSM1448348", "GSM1448349", "GSM1448350", "GSM1448351", "GSM1448352", "GSM1448353", "GSM1448354", "GSM1448355", "GSM1448356", "GSM1448357", "GSM1448358", "GSM1448359", "GSM1448360", "GSM1448361", "GSM1448362", "GSM1448363", "GSM1448364", "GSM1448365", "GSM1448366", "GSM1448367", "GSM1448368", "GSM1448369", "GSM1448370", "GSM1448371", "GSM1448372", "GSM1448373", "GSM1448374", "GSM1448375", "GSM1448376", "GSM1448377", "GSM1448378", "GSM1448379", "GSM1448380", "GSM1448381", "GSM1448382", "GSM1448383", "GSM1448384", "GSM1448385", "GSM1448386", "GSM1448387", "GSM1448388", "GSM1448389", "GSM1448390", "GSM1448391", "GSM1448392", "GSM1448393", "GSM1448394", "GSM1448395", "GSM1448396", "GSM1448397", "GSM1448398", "GSM1448399", "GSM1448400", "GSM1448401", "GSM1448402", "GSM1448403", "GSM1448404", "GSM1448405", "GSM1448406", "GSM1448407", "GSM1448408", "GSM1448409", "GSM1448410", "GSM1448411", "GSM1448412", "GSM1448413", "GSM1448414", "GSM1448415", "GSM1448416", "GSM1448417", "GSM1448418", "GSM1448419", "GSM1448420", "GSM1448421", "GSM1448422", "GSM1448423", "GSM1448424", "GSM1448425", "GSM1448426", "GSM1448427", "GSM1448428", "GSM1448429", "GSM1448430", "GSM1448431", "GSM1448432", "GSM1448433", "GSM1448434", "GSM1448435", "GSM1448436", "GSM1448437", "GSM1448438", "GSM1448439", "GSM1448440", "GSM1448441", "GSM1448442", "GSM1448443", "GSM1448444", "GSM1448445", "GSM1448446", "GSM1448447", "GSM1448448", "GSM1448449", "GSM1448450", "GSM1448451", "GSM1448452", "GSM1448453", "GSM1448454", "GSM1448455", "GSM1448456", "GSM1448457", "GSM1448458", "GSM1448459", "GSM1448460", "GSM1448461", "GSM1448462", "GSM1448463", "GSM1448464", "GSM1448465", "GSM1448466", "GSM1448467", "GSM1448468", "GSM1448469", "GSM1448470", "GSM1448471", "GSM1448472", "GSM1448473", "GSM1448474", "GSM1448475", "GSM1448476", "GSM1448477", "GSM1448478", "GSM1448479", "GSM1448480", "GSM1448481", "GSM1448482", "GSM1448483", "GSM1448484", "GSM1448485", "GSM1448486", "GSM1448487", "GSM1448488", "GSM1448489", "GSM1448490", "GSM1448491", "GSM1448492", "GSM1448493", "GSM1448494", "GSM1448495", "GSM1448496", "GSM1448497", "GSM1448498", "GSM1448499", "GSM1448500", "GSM1448501", "GSM1448502", "GSM1448503", "GSM1448504", "GSM1448505", "GSM1448506", "GSM1448507", "GSM1448508", "GSM1448509", "GSM1448510", "GSM1448511", "GSM1448512", "GSM1448513", "GSM1448514", "GSM1448515", "GSM1448516", "GSM1448517", "GSM1448518", "GSM1448519", "GSM1448520", "GSM1448521", "GSM1448522", "GSM1448523", "GSM1448524", "GSM1448525", "GSM1448526", "GSM1448527", "GSM1448528", "GSM1448529", 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"GSM1448672", "GSM1448673", "GSM1448674", "GSM1448675", "GSM1448676", "GSM1448677", "GSM1448678", "GSM1448679", "GSM1448680", "GSM1448681", "GSM1448682", "GSM1448683", "GSM1448684", "GSM1448685", "GSM1448686", "GSM1448687", "GSM1448688", "GSM1448689", "GSM1448690", "GSM1448691", "GSM1448692", "GSM1448693", "GSM1448694", "GSM1448695", "GSM1448696", "GSM1448697", "GSM1448698", "GSM1448699", "GSM1448700", "GSM1448701", "GSM1448702", "GSM1448703", "GSM1448704", "GSM1448705", "GSM1448706", "GSM1448707", "GSM1448708", "GSM1448709", "GSM1448710", "GSM1448711", "GSM1448712", "GSM1448713", "GSM1448714", "GSM1448715", "GSM1448716", "GSM1448717", "GSM1448718", "GSM1448719", "GSM1448720", "GSM1448721", "GSM1448722", "GSM1448723", "GSM1448724", "GSM1620759", "GSM1620760", "GSM1620761", "GSM1620762", "GSM1620763", "GSM1620764", "GSM1620765", "GSM1620766", "GSM1620767", "GSM1620768", "GSM1620769", "GSM1620770", "GSM1620771", "GSM1620772", "GSM1620773", "GSM1620774", "GSM1620775", "GSM1620776", "GSM1620777", "GSM1620778", "GSM1620779", "GSM1620780", "GSM1620781", "GSM1620782", "GSM1620783", "GSM1620784", "GSM1620785", "GSM1620786", "GSM1620787", "GSM1620788", "GSM1620789", "GSM1620790", "GSM1620791", "GSM1620792", "GSM1620793", "GSM1620794", "GSM1620795", "GSM1620796", "GSM1620797", "GSM1620798", "GSM1620799", "GSM1620800", "GSM1620801", "GSM1620802", "GSM1620803", "GSM1620804"], "sample_count": 436, "group_sizes": null, "group_sizes_basis": null, "platform": "6244", "taxon": "Homo sapiens", "title": "Gene expression profiling reveals potential prognostic biomarkers associated with the progression of heart failure", "resolution_checked_at": "2026-11-01T15:39:54Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "data:geo:GSE60993", "role": "raw", "format": "geo-series", "media_type": "application/vnd.ncbi.geo-series+json", "uri": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE60993", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE60993", "version": null, "note": "We downloaded GSE56045 [21] microarray data from GEO (Gene Expression Omnibus, http://www.ncbi.nlm.nih.gov/geo/). These datasets were based on the platform of the GPL10558 Illumina HumanHT-12 V4.0 expression BeadChip. GSE56045 contains 1,202 peripheral blood samples, as well as clinical information, such as age, whole-blood cell count, and the coronary artery calcification plaque score.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "We downloaded GSE56045 [21] microarray data from GEO (Gene Expression Omnibus, http://www.ncbi.nlm.nih.gov/geo/). These datasets were based on the platform of the GPL10558 Illumina HumanHT-12 V4.0 expression BeadChip. GSE56045 contains 1,202 peripheral blood samples, as well as clinical information, such as age, whole-blood cell count, and the coronary artery calcification plaque score.", "access_statement_kind": "repository_route_statement", "sample_accessions": ["GSM1495313", "GSM1495314", "GSM1495315", "GSM1495316", "GSM1495317", "GSM1495318", "GSM1495319", "GSM1495320", "GSM1495321", "GSM1495322", "GSM1495323", "GSM1495324", "GSM1495325", "GSM1495326", "GSM1495327", "GSM1495328", "GSM1495329", "GSM1495330", "GSM1495331", "GSM1495332", "GSM1495333", "GSM1495334", "GSM1495335", "GSM1495336", "GSM1495337", "GSM1495338", "GSM1495339", "GSM1495340", "GSM1495341", "GSM1495342", "GSM1495343", "GSM1495344", "GSM1495345"], "sample_count": 33, "group_sizes": null, "group_sizes_basis": null, "platform": "6884", "taxon": "Homo sapiens", "title": "Assessment and Diagnostic Relevance of Novel Serum Biomarkers for Early Decision of ST-elevation Myocardial Infarction", "resolution_checked_at": "2026-11-01T15:39:55Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "asset:table:pmid:33052139:1", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:4f03c09541ec5a80ce8eaa425a7d4030251d52dad532aef2fbc8d2a0c171d329", "bytes": 2600, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[8]/table-wrap[1]#t1", "version": null, "note": "Comparison of demographic, lifestyle characteristics and serum lipid levels among different groups.", "structure": {"pmcid": "PMC7732301", "section_index": 8, "section_title": "Subject validation", "row_count": 27, "column_count": 6}, "table": {"label": "Table 1", "caption": "Comparison of demographic, lifestyle characteristics and serum lipid levels among different groups.", "rows": [["Parameter", "Control", "CAD", "UA", "NSTEMI", "STEMI"], ["Number", "312", "320", "304", "290", "302"], ["Male/female", "94/220", "89/231", "92/210", "84/202", "98/202"], ["Age (years)1", "55.32±8.31", "54.16±9.05", "55.59±8.54", "56.43±9.83", "55.94±9.17"], ["Height (cm)", "166.24±6.82", "168.59±7.29", "167.55±7.28", "166.52±6.94", "167.23±9.13"], ["Weight (kg)", "52.46±6.84", "54.74±10.82", "57.63±9.11a", "57.92±8.77a", "57.52±9.23a"], ["Body mass index (kg/m2)", "29.29±5.13", "30.44±6.47a", "30.67±7.12a", "30.79±6.74a", "30.77±6.09a"], ["Waist circumference (cm)", "74.49±6.74", "73.55±9.48", "76.03±8.15", "76.24±7.17", "76.15±6.27"], ["Smoking status [n (%)]", "81(26.0)", "114(35.6) a", "142(46.7) a", "138(47.6) a", "144(47.6) a"], ["Alcohol consumption [n (%)]", "75(24.0)", "84(26.2)", "70(23.0)", "81(27.9) a", "71(23.5)"], ["SBP (mmHg)", "124.14±17.14", "129.21±21.11a", "147.15±23.96c", "139.47±22.14b", "103.45±17.16c"], ["DBP (mmHg)", "80.52±11.16", "81.33±11.25", "88.54±14.23a", "84.43±11.21", "68.54±12.15c"], ["PP (mmHg)", "49.64±14.13", "51.42±13.59", "51.66±15.24", "50.84±15.22", "50.22±14.21"], ["Glucose (mmol/L)", "5.91±1.83", "6.13±2.22", "7.79±2.43b", "8.46±2.79c", "8.69±2.78c"], ["TC (mmol/L)", "4.93±1.21", "5.21±1.17a", "5.63±1.12a", "5.99±1.18a", "5.83±1.43a"], ["TG (mmol/L)2", "1.49(0.51)", "1.53(1.22)", "1.52(1.21)", "1.44(1.32)", "1.51(1.26)"], ["HDL-C (mmol/L)", "1.52±0.44", "1.32±0.26a", "1.35±0.34a", "1.44±0.28a", "1.48±0.32"], ["LDL-C (mmol/L)", "2.86±0.81", "3.23±0.74a", "3.98±0.79a", "3.79±0.88a", "3.92±0.84a"], ["ApoA1 (g/L)", "1.24±0.24", "1.17±0.22", "1.18±0.26", "1.18±0.26", "1.14±0.28"], ["ApoB (g/L)", "0.84±0.19", "0.82±0.32", "0.81±0.31", "0.94±0.31", "0.88±0.28"], ["ApoA1/ApoB", "1.67±0.50", "1.66±0.57", "1.64±0.58", "1.65±0.61", "1.67±0.54"], ["Heart rate (beats/minutes)", "72.41±10.19", "72.33±10.32", "76.28±10.61a", "76.43±9.31a", "79.76±10.14a"], ["Creatinine, (μmol/L)", "72.34±12.22", "71.36±11.34", "74.53±11.62", "76.55±10.23", "76.58±12.74"], ["Uric acid, (μmol/L)", "283.83±76.19", "286.89±74.32", "279.88±81.31", "285.91±81.31", "283.86±75.28"], ["Troponin T, (μg/L)", "0.01±0.02", "0.02±0.02", "0.02±0.01", "2.74±3.93c", "2.86±6.28c"], ["CK, (U/L)", "88.84±45.28", "87.84±48.31", "91.88±50.33", "1111.92±683.31c", "1124.88±783.28c"], ["CKMB, (U/L)", "12.44±3.63", "13.11±2.78", "13.22±3.32", "129.88±61.45c", "132.76±59.17c"]], "row_count": 27, "column_count": 6, "numeric_cells": 132, "header_rows": 0, "locator": "section[8]/table-wrap[1]#t1"}}], "gaps": ["asset:data:geo:GSE129935 not downloaded", "asset:data:geo:GSE129935 licence not read", "asset:data:geo:GSE23561 not downloaded", "asset:data:geo:GSE23561 licence not read", "asset:data:geo:GSE34822 not downloaded", "asset:data:geo:GSE34822 licence not read", "asset:data:geo:GSE56045 not downloaded", "asset:data:geo:GSE56045 licence not read", "asset:data:geo:GSE59867 not downloaded", "asset:data:geo:GSE59867 licence not read", "asset:data:geo:GSE60993 not downloaded", "asset:data:geo:GSE60993 licence not read"]}, "analysis": {"state": "partial", "methods": [{"id": "method-1", "family": "group_comparison", "specific": "wilcoxon", "label": "Group comparison", "dsl_operations": [], "missing_operations": ["group_comparison_wilcoxon"], "expressible": false, "parameters": {}, "data_shapes": ["two_or_more_groups_continuous"], "evidence": {"score": 0.8, "band": "high", "quote": "Wilcoxon"}}, {"id": "method-2", "family": "network_analysis", "specific": "ppi_network", "label": "Network / pathway analysis", "dsl_operations": ["build_graph", "centrality_scores", "pathway_enrich"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["edge_list"], "evidence": {"score": 0.7, "band": "medium", "quote": "protein-protein interaction"}}, {"id": "method-3", "family": "network_analysis", "specific": "pathway_enrichment", "label": "Network / pathway analysis", "dsl_operations": ["pathway_enrich"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["edge_list"], "evidence": {"score": 0.7, "band": "medium", "quote": "pathway enrichment"}}, {"id": "method-4", "family": "contingency_analysis", "specific": "chi_square", "label": "Categorical (contingency table) analysis", "dsl_operations": ["chi_square_test"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["categorical_cross_tabulation"], "evidence": {"score": 0.8, "band": "high", "quote": "Chi-square"}}, {"id": "method-5", "family": null, "specific": null, "label": "Linear correlation", "dsl_operations": [], "missing_operations": [], "expressible": null, "parameters": {}, "data_shapes": [], "evidence": {"score": 1.0, "band": "verbatim", "quote": "First, we analyzed the relationship between the expression level of these 24 genes and the coronary artery calcification score by linear correlation in GSE56045."}}], "targets": [], "gaps": ["method.reader_named_unmapped", "method.group_comparison_wilcoxon"]}, "capability": {"state": "complete", "requirements": [{"capability_id": "capability:computational_analysis", "label": "Computational analysis platform", "assay_families": ["meta_analysis", "machine_learning", "survival_analysis", "statistical_regression", "pca", "molecular_docking", "network_analysis", "differential_expression", "gwas"], "availability_state": "owned", "tier_unlocked": "R1", "candidate": "Automated Assays Laravel application and simulated adapters"}], "gaps": []}, "readiness": {"state": "complete", "tier": "R1", "blocking_axis": "none", "blocked_on": "nothing:replicable_now", "axes": {"method": {"tier": "R1", "expressible": false, "required_operations": [], "missing_operations": ["group_comparison_wilcoxon"], "basis": "The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: wilcoxon."}, "capability": {"tier": "R1", "capability_id": "capability:computational_analysis", "availability_state": "owned", "basis": "The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here."}, "data": {"tier": "R1", "reachable": true, "accessions": ["GSE56045", "GSE23561", "GSE34822", "GSE59867", "GSE60993", "GSE129935"], "resolved_accessions": ["GSE56045", "GSE23561", "GSE34822", "GSE59867", "GSE60993", "GSE129935"], "statements": ["We downloaded GSE56045 [21] microarray data from GEO (Gene Expression Omnibus, http://www.ncbi.nlm.nih.gov/geo/). These datasets were based on the platform of the GPL10558 Illumina HumanHT-12 V4.0 expression BeadChip. GSE56045 contains 1,202 peripheral blood samples, as well as clinical information, such as age, whole-blood cell count, and the coronary artery calcification plaque score."], "basis": "The paper names GSE56045, GSE23561, GSE34822, GSE59867, GSE60993, GSE129935 in Gene Expression Omnibus (GEO) and the accession resolves in the repository. No dataset was downloaded and no licence was read."}}, "can_run": {"dsl_operations": [], "assets": ["source:pmid:33052139", "data:geo:GSE129935", "asset:table:pmid:33052139:1"], "steps": []}, "must_build": {"dsl_operations": [{"operation": "group_comparison_wilcoxon", "unlocks_papers": null, "priority": null}], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:GSE129935"]}, "gaps": []}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-10-31T18:23:23Z", "independence": "single_reader"}, "evidence_check": {"method": "verbatim", "availability": null}, "calls": 3, "usage": {"prompt_tokens": 30399, "completion_tokens": 2333, "cached_tokens": 784}}, "human_critique": null, "stages": [{"id": "extraction", "state": "complete", "reader": "MiniMax-M3.1-Flash", "provider": "minimax"}], "gaps": ["review.independent_reader", "review.machine_critique", "review.human_critique"]}, "execution": {"state": "absent", "status": "not_run", "mode": null, "runs": [], "gaps": ["execution.not_run"]}, "provenance": {"entities": [{"id": "pmid:33052139", "type": "paper", "label": "pmid:33052139"}, {"id": "source:pmid:33052139", "type": "manuscript", "label": "PMID 33052139 full text"}, {"id": "data:geo:GSE129935", "type": "dataset", "label": "GEO GSE129935"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:33052139", "type": "paper", "label": "pmid:33052139"}, {"id": "source:pmid:33052139", "type": "manuscript", "label": "PMID 33052139 full text"}, {"id": "data:geo:GSE129935", "type": "dataset", "label": "GEO GSE129935"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-33052139", "type": "extraction", "used": ["source:pmid:33052139"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-GSE129935", "type": "accession_resolution", "used": ["data:geo:GSE129935"], "agent": "agent:corpus-assay-engine"}], "agents": [{"id": "agent:corpus-assay-engine", "type": "software", "label": "Corpus assay engine"}, {"id": "agent:minimax-reader", "type": "software", "label": "MiniMax literature reader"}], "source_run_id": "reading-sci-2026-11-01", "dsl_catalogue_fingerprint": "343fb30756ba6ec3", "capability_table_fingerprint": "2cb3e42f047d2ecf", "snapshot_id": "ba34b49490d9bfaf"}, "lineage": {"parent_id": "pmid:33052139", "parent_hash": "sha256:e59475fb228aa1f6d29a9c46a60b8c0003d8217f0b049b144c5573ddfdf70b47", "fork_of": null, "generation": 7}, "gaps": ["asset:data:geo:GSE129935 licence not read", "asset:data:geo:GSE129935 not downloaded", "asset:data:geo:GSE23561 licence not read", "asset:data:geo:GSE23561 not downloaded", "asset:data:geo:GSE34822 licence not read", "asset:data:geo:GSE34822 not downloaded", "asset:data:geo:GSE56045 licence not read", "asset:data:geo:GSE56045 not downloaded", "asset:data:geo:GSE59867 licence not read", "asset:data:geo:GSE59867 not downloaded", "asset:data:geo:GSE60993 licence not read", "asset:data:geo:GSE60993 not downloaded", "execution.not_run", "method.group_comparison_wilcoxon", "method.reader_named_unmapped", "review.human_critique", "review.independent_reader", "review.machine_critique", "step:run_analysis blocked on method:group_comparison_wilcoxon"], "assays": [{"role": "data_generation", "definition_id": "qpcr", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["MATERIALS AND METHODS RT–qPCR and statistical analysis The procedures of b", "isolation, reverse transcription cDNA and RT–qPCR are the same as those in our previous studie"], "order_basis": "paper_text_order:1727", "id": "assay:1"}, {"role": "analysis", "definition_id": "group_comparison", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 0.8, "evidence": ["Wilcoxon"], "order_basis": "consumes_earlier_output", "id": "assay:2"}]},"meta":{"api_version":"v1","automation_ladder_snapshot":"ba34b49490d9bfaf","automation_ladder_caveats":["Method extraction is rule-based and has no hand-judged accuracy sample. Evidence bands order textual support; method agreement intervals are null (n=0), never probabilities. Work-type validation does not validate methods.","Operation coverage describes only explicitly named methods. It does not prove a complete protocol, compatible parameters, successful compilation or re-execution. Unrecognised or ambiguous methods require review.","Data reachability is a textual accession or public-data statement. No dataset was downloaded or checked for access, completeness or licence.","Capabilities are planning states seeded from the dated equipment register. No bench ownership, completed quote or partner booking is inferred. Procurement counts are dependencies, not guaranteed replications or financial returns.","Tier and blocker counts are deterministic assessments of this corpus, not measured agreement. R3 is reserved for procurement; unresolved methods and data require human work (R4). The most restrictive axis wins, with capability, method, data as tie-breaks. Resolving one blocker can leave another at the same tier."],"engine":"corpus_engine","engine_provider":"rule_based_v1+lex99e1195c7d6f","run_id":"run-20261023T122449232913","source":"esearch","source_detail":"PubMed mirror biomed_pubmed (read-only)","run_status":"complete","imported_at":"2026-11-03T20:16:52+00:00","generated_at":"2026-11-04T02:48:42+00:00","total_papers":5529,"total_assays_tracked":29,"automatable_assay_families":6,"validated":true,"caveat_count":9,"blocking_caveats":5,"caveats":[{"code":"low_evidence_dominates","basis":["4,152 of 5,529 classifications (75.1%) matched no cue evidence and sit at the 0.05 floor.","34 of 230 data_only calls (14.8%) are in that group."],"claim":"Work type and confidence bands","gloss":"Most records were classified from their title and framing alone, with assay-cue coverage at zero.","detail":"Most classifications in this run rest on no matched evidence at all. At the evidence floor the work type comes from title framing and a fixed prior, not from anything in the paper, so the published work-type split should be read as a rough triage signal rather than a measured distribution. The impact is bounded but not removed: since 2026-10-23 the engine excludes floor-confidence records from the shortlist entirely and publishes them separately as held out, so the recommendation is unaffected even though the census is.","status":"unverified","severity":"high"},{"code":"runtime_is_modelled","basis":["Runtime is summed from published per-assay hour figures. Timing awaits the first executed replication.","4,407 of 5,529 records (79.7%) model to 0.00 hours because no assay was matched, which the ranking then reads as \"cheapest\".","0 of 10 shortlisted records carry a 0.00-hour estimate."],"claim":"Estimated replication runtime","gloss":"The hour figures are estimates built from assay mentions; timing awaits the first executed replication.","detail":"The hour figures are a cost model derived from the bench steps implied by each matched assay family. The first executed replication will supply measured timing. Records without an assay match currently receive a zero-hour model value.","status":"unverified","severity":"high"},{"code":"signal_score_without_citations","basis":["5,529 of 5,529 records (100.0%) have no citation count from the source metadata."],"claim":"Signal score","gloss":"The signal score uses publication-type weight because the mirror supplied zero citation counts.","detail":"The source supplied no citation counts for any record in this run, so the signal score is publication-type weight only. The citation term of the ranking is inert here, and the shortlist is ordered by publication type alone.","status":"unverified","severity":"high"},{"code":"abstract_absent","basis":["1,667 of 5,529 records (30.2%) carry no abstract at all."],"claim":"Evidence base for classification","gloss":"Some records contain a title and publication type only, defining the available classification evidence.","detail":"Where the mirror contains a title and publication types only, those fields define the classifier evidence. A methods section is required for fuller automated and human review.","status":"unverified","severity":"medium"},{"code":"classifier_agreement_measured","basis":["Published two-way decision agreement 77.7% (310 of 399 decidable records) from a stratified hand-check of 438 real records.","Three-way diagnostic agreement 73.9% (288 of 390 decidable records).","data_only agreement 75.2% (100 of 133 decidable).","48 record(s) could not be decided from title and abstract and were excluded from the denominator.","56 analysis-only records were published under another work type, so the data_only share is not an upper bound."],"claim":"Published automatable decision","gloss":"This figure has been checked against a human reading the same papers, so we know how often it is right.","detail":"The published automatable / not-automatable distribution comes from a rule-based classifier that was hand-checked against a fixed ground-truth definition. The agreement rates below are measured, not estimated. The three-way work type remains a diagnostic and is reported separately.","status":"measured","severity":"high"},{"code":"llm_comparison_not_measured","basis":["rule_based_v1+lex99e1195c7d6f produced 5,529 of 5,529 classifications.","Measured on 438 labelled records; these are RULE-BASED figures, not model results."],"claim":"Rule-based versus LLM agreement","gloss":"Every number here is the rule engine’s own. Model comparison begins when a working API credential is connected and measured.","detail":"The published two-way decision agreed with a human reading on 310 of 399 decidable records (77.7%). The diagnostic three-way label agreed on 288 of 390 decidable records (73.9%). Every percentage in this run belongs to the rule engine. Model comparison begins when a working API credential is connected and measured.","status":"not_measured","severity":"high"},{"code":"confidence_is_a_band","basis":["low band: 135 of 210 hand-judged records were correct, 64.3% [57.6, 70.5] (95% CI).","medium band: 80 of 104 hand-judged records were correct, 76.9% [68.0, 84.0] (95% CI).","high band: 73 of 76 hand-judged records were correct, 96.0% [89.0, 98.7] (95% CI).","A fitted calibrated probability was built, measured and withdrawn: it overstated held-out accuracy and reorders nothing."],"claim":"Confidence band and evidence score","gloss":"The confidence band carries a measured accuracy interval; 0.85 represents relative rank strength.","detail":"Confidence on this run is a BAND plus its measured accuracy interval. The number stored alongside each record is a monotone evidence score that orders records; 0.85 represents relative rank strength. A fitted probability was withdrawn after it overstated held-out accuracy. Threshold on the band.","status":"measured","severity":"medium"},{"code":"three_way_split_is_diagnostic","basis":["The corpus is published at the two-way decision: automatable or not-automatable. The three-way split (data_only / physical / mixed) is published as a diagnostic with its measured reliability attached, not as a claim, because the rule engine's `mixed` call cannot be defended.","The engine called 22 record(s) mixed; 10 matched the human judgement (45.5%, 95% CI 26.9-65.3).","The engine's `mixed` call is right on 10/22 hand-judged records (45.5%, 95% CI 26.9%-65.3%); a constant `physical` guess scores 36.4%.","The engine's `mixed` call does not reliably beat a constant `physical` guess on the hand-judged records it labels mixed.","The sign of that difference flips between two independent samples, so the three-way refinement is not demonstrably informative.","The mixed stratum contributes a disproportionate share of errors relative to its size.","At title-only depth the physical/mixed split collapses: a title says that work was done, not whether it was also analysed."],"claim":"The published decision is two-way","gloss":"The three-way split is shown for diagnosis only. The published split is two ways.","detail":"Count and filter the corpus on automatable versus not-automatable. The data_only / physical / mixed split remains an internal engine diagnostic because the mixed call has lower measured reliability.","status":"measured","severity":"medium"},{"code":"automatable_flag_unproven","basis":["6 of 29 assay families are marked automatable now: meta_analysis, machine_learning, survival_analysis, pca, molecular_docking, differential_expression.","The flag is a rule over assay family and work type; validation begins with the first executed replication.","It inherits the 75.2% data_only agreement rate, because the flag requires the record to be analysis-only."],"claim":"Automatable now","gloss":"This flag marks assay families the rules classify as data-only. The first executed replication will validate it.","detail":"This flag marks families the rules consider replicable from data alone. Its validity depends on the analysis-only classification and will be measured through an executed replication.","status":"unverified","severity":"medium"}],"confidence_policy":"band_with_measured_interval","confidence_contract":{"policy":"band_with_measured_interval","summary":"Confidence is reported as a BAND with a measured accuracy interval. The raw evidence score supplies monotone ordering. A fitted point estimate was withdrawn after it overstated held-out accuracy.","evidence_score":"A monotone evidence score in [0,1] built from cue mass, axis separation and text coverage. Use it to order records. Interpret 0.85 as relative rank strength.","confidence_band":"low | medium | high. Consumers threshold on this value.","band_accuracy":"Wilson 95% interval on the measured agreement of the hand-judged records in this band.","calibrated_confidence":"WITHDRAWN. Reintroduction requires held-out evidence demonstrating reliable estimates across every bin."},"band_accuracy":{"low":{"n":210,"low":0.576,"band":"low","high":0.7046,"agree":135,"accuracy":0.6429},"high":{"n":76,"low":0.8903,"band":"high","high":0.9865,"agree":73,"accuracy":0.9605},"medium":{"n":104,"low":0.6795,"band":"medium","high":0.8397,"agree":80,"accuracy":0.7692}},"provider":"rule_based_v1+lex99e1195c7d6f","lexicon_id":"99e1195c7d6f","contract_published_at":"2026-10-23T12:25:29.022232+00:00","confidence_is_band":true,"confidence_is_probability":false,"decision_taxonomy":"two_way","decidable_fraction_two_way":0.8854,"decidable_fraction_two_way_low":0.8565,"decidable_fraction_two_way_high":0.9143,"decidable_fraction_three_way":0.8586,"decidable_fraction_three_way_low":0.8287,"decidable_fraction_three_way_high":0.8884,"decidable_population":5529,"validation_sample_size":438,"three_way_cost_fraction":0.0268,"three_way_cost_records":148,"decision_counts":{"automatable":230,"not_automatable":5299},"decision_split":{"automatable":{"count":230,"share":0.04159884246699222},"not_automatable":{"count":5299,"share":0.9584011575330078}},"diagnostic_work_type_counts":{"mixed":24,"physical":5275,"data_only":230}}}