{"data":{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:40082645", "kind": "science-record", "revision": 2, "content_hash": "sha256:404aa8c393d63d6fecdd22db7c3a117caa6ee749c948e7311903806dfe8b9e0d", "created_at": "2026-11-01T20:30:17Z", "updated_at": "2026-11-01T21:34:54Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification biomarkers and therapeutic targets of disulfidptosis-related in rheumatoid arthritis via bioinformatics, molecular dynamics simulation, and experimental validation.", "doi": "10.1038/s41598-025-93656-4", "pmid": "40082645", "authors": ["Bin Xu", "Hai Long Zhang", "Bo Shen", "Jia Mei Wu", "Meng Ting Shi", "Xiao Duo Li", "Qiong Guo"], "journal": "Scientific reports", "year": 2025, "abstract": "The relationship between disulfidptosis and rheumatoid arthritis (RA) remains unclear. We aimed to identified biomarkers disulfidptosis-related in RA and revealed potential targeted drugs. Two microarray datasets (GSE93272, GSE45291) related to RA were downloaded from the Gene Expression Omnibus (GEO) database. Disulfidptosis-related genes(DRGs) were extracted from FerrDb database. GSE93272 was used to identify DRGs, and GSE45291 was used to verify results. Multivariate Cox regression analysis was used to identify candidate disulfidptosis-associated hub genes. The differentiated values of DRGs were determined by receiver operator characteristic (ROC) monofactor analysis to judge their potential quality as biomarkers. RT-qPCR were used to validate the expression of hub genes. Additionally, we analyzed the connection between the hub genes and the filtration of immune cells in RA. We made predictions about the miRNAs, TFs and possible drugs that regulate the hub genes. Subsequently, molecular docking was carried out to predict the combination of drugs with hub targets. Finally, molecular dynamics simulation was conducted to further verify the findings. Oxoacyl-ACP Synthase Mitochondrial(OXSM) was identified as a biomarker with high diagnostic value, and an RA diagnostic model based on OXSM for a single gene was constructed. The model showed high accuracy in distinguishing RA and healthy controls (AUC = 0.802) and was validated by external datasets, showing excellent diagnostic power (AUC = 0.982). Twelve potential drugs against RA were recognized by comparative toxicogenomics database (CTD). Molecular docking results showed that ICG 001 had the highest binding affinity to OXSM, and molecular dynamics simulations confirmed the stability of this complexes. Furthermore, CIBERSORT analysis showed a significant correlation between immune cell infiltration and OXSM, and a regulatory network of TFs-gene-miRNAs comprising 8 miRNAs and 34 TFs was identified. Finally, the RT-qPCR results showed that OXSM was significantly increased in the peripheral blood of RA patients compared with healthy controls, consistent with the bioinformatics analysis. These studies suggest that OXSM may be a potential biomarker and therapeutic target for diagnosing RA, and ICG 001 may be a potential drug for RA. These findings may provide new avenues for the effective diagnosis and treatment of RA.", "claims": [{"id": "claim-method", "statement": "We identified hub genes by multivariate Cox regression analysis and receiver operating characteristic (ROC) curves.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:40082645", "locator": "sections[22] \"Hub genes identification and diagnostic model construction\" paragraph 2", "quote": "We identified hub genes by multivariate Cox regression analysis and receiver operating characteristic (ROC) curves."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The GSE93272 and GSE45291 datasets used in this study were downloaded from the Gene Expression Omnibus (GEO)(https://www.ncbi.nlm.nih.gov/geo/ ). The software/package used in this study can be found in the Sangerbox platform (http://vip.sangerbox.com/home.html).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:40082645", "locator": "sections[37] \"Data availability\" paragraph 2", "quote": "The GSE93272 and GSE45291 datasets used in this study were downloaded from the Gene Expression Omnibus (GEO)(https://www.ncbi.nlm.nih.gov/geo/ ). The software/package used in this study can be found in the Sangerbox platform (http://vip.sangerbox.com/home.html)."}], "state": "complete"}, {"id": "claim-target-result", "statement": "As shown in Fig. 7B, the ROC curve showed an AUC value of 0.982 (95%CI 0.970–0.993), which was higher than the training set, indicating that the model has excellent diagnostic efficiency (Fig. 6B).", "kind": "quantitative", "target": {"value": 95.0, "unit": "per cent", "tolerance": null, "source": "As shown in Fig. 7B, the ROC curve showed an AUC value of 0.982 (95%CI 0.970–0.993), which was higher than the training set, indicating that the model has excellent diagnostic efficiency (Fig. 6B)."}, "evidence": [{"asset": "source:pmid:40082645", "locator": "sections[23] \"Diagnostic model validation\" paragraph 2", "quote": "As shown in Fig. 7B, the ROC curve showed an AUC value of 0.982 (95%CI 0.970–0.993), which was higher than the training set, indicating that the model has excellent diagnostic efficiency (Fig. 6B)."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "As shown in Fig. 7B, the ROC curve showed an AUC value of 0.982 (95%CI 0.970–0.993), which was higher than the training set, indicating that the model has excellent diagnostic efficiency (Fig. 6B).", "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:40082645"], "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:GSE45291"], "outputs": ["the source data with its repository provenance"], "instruments": [], "reagents": []}, {"id": "run_analysis", "order": 3, "name": "Run the published analysis", "kind": "analysis", "state": "complete", "blocked_on": null, "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:GSE45291"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:40082645", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1038/s41598-025-93656-4", "sha256": "sha256:4a8366a31a3e1a0c5586c43ece2b13f9539164ac36f1a7a26c7f48682140ce96", "bytes": 79570, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.1038/s41598-025-93656-4", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC11906621", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE45291", "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=GSE45291", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE45291", "version": null, "note": "The GSE93272 and GSE45291 datasets used in this study were downloaded from the Gene Expression Omnibus (GEO)(https://www.ncbi.nlm.nih.gov/geo/ ). The software/package used in this study can be found in the Sangerbox platform (http://vip.sangerbox.com/home.html).", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The GSE93272 and GSE45291 datasets used in this study were downloaded from the Gene Expression Omnibus (GEO)(https://www.ncbi.nlm.nih.gov/geo/ ). 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The software/package used in this study can be found in the Sangerbox platform (http://vip.sangerbox.com/home.html).", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The GSE93272 and GSE45291 datasets used in this study were downloaded from the Gene Expression Omnibus (GEO)(https://www.ncbi.nlm.nih.gov/geo/ ). The software/package used in this study can be found in the Sangerbox platform (http://vip.sangerbox.com/home.html).", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM2449608", "GSM2449609", "GSM2449610", "GSM2449611", "GSM2449612", "GSM2449613", "GSM2449614", "GSM2449615", "GSM2449616", "GSM2449617", "GSM2449618", "GSM2449619", "GSM2449620", "GSM2449621", "GSM2449622", "GSM2449623", "GSM2449624", "GSM2449625", "GSM2449626", "GSM2449627", "GSM2449628", "GSM2449629", "GSM2449630", "GSM2449631", "GSM2449632", "GSM2449633", "GSM2449634", "GSM2449635", "GSM2449636", "GSM2449637", "GSM2449638", "GSM2449639", "GSM2449640", "GSM2449641", "GSM2449642", "GSM2449643", "GSM2449644", "GSM2449645", "GSM2449646", "GSM2449647", "GSM2449648", "GSM2449649", "GSM2449650", "GSM2449651", "GSM2449652", "GSM2449653", "GSM2449654", "GSM2449655", "GSM2449656", "GSM2449657", "GSM2449658", "GSM2449659", "GSM2449660", "GSM2449661", "GSM2449662", "GSM2449663", "GSM2449664", "GSM2449665", "GSM2449666", "GSM2449667", "GSM2449668", "GSM2449669", "GSM2449670", "GSM2449671", "GSM2449672", "GSM2449673", "GSM2449674", "GSM2449675", "GSM2449676", "GSM2449677", "GSM2449678", "GSM2449679", "GSM2449680", "GSM2449682", "GSM2449683", "GSM2449684", "GSM2449685", "GSM2449686", "GSM2449687", "GSM2449688", "GSM2449689", "GSM2449690", "GSM2449691", "GSM2449692", "GSM2449693", "GSM2449694", "GSM2449695", "GSM2449696", "GSM2449697", "GSM2449698", "GSM2449699", "GSM2449700", "GSM2449701", "GSM2449702", "GSM2449703", "GSM2449704", "GSM2449705", "GSM2449706", "GSM2449707", "GSM2449708", "GSM2449709", "GSM2449710", "GSM2449711", "GSM2449712", "GSM2449713", "GSM2449714", "GSM2449715", "GSM2449716", "GSM2449717", "GSM2449718", "GSM2449719", "GSM2449720", "GSM2449721", "GSM2449722", "GSM2449723", "GSM2449724", "GSM2449725", "GSM2449726", "GSM2449727", "GSM2449728", "GSM2449729", "GSM2449730", "GSM2449731", "GSM2449732", "GSM2449733", "GSM2449734", "GSM2449735", "GSM2449736", "GSM2449737", "GSM2449738", "GSM2449739", "GSM2449740", "GSM2449741", "GSM2449742", "GSM2449743", "GSM2449744", "GSM2449745", "GSM2449746", "GSM2449747", "GSM2449748", "GSM2449749", "GSM2449750", "GSM2449751", "GSM2449752", "GSM2449753", "GSM2449754", "GSM2449755", "GSM2449756", "GSM2449757", "GSM2449758", "GSM2449759", "GSM2449760", "GSM2449761", "GSM2449762", "GSM2449763", "GSM2449764", "GSM2449765", "GSM2449766", "GSM2449767", "GSM2449768", "GSM2449769", "GSM2449770", "GSM2449771", "GSM2449772", "GSM2449773", "GSM2449774", "GSM2449775", "GSM2449776", "GSM2449777", "GSM2449778", "GSM2449779", "GSM2449780", "GSM2449781", "GSM2449782", "GSM2449783", "GSM2449784", "GSM2449785", "GSM2449786", "GSM2449789", "GSM2449790", "GSM2449791", "GSM2449792", "GSM2449793", "GSM2449794", "GSM2449795", "GSM2449796", "GSM2449797", "GSM2449798", "GSM2449799", "GSM2449800", "GSM2449801", "GSM2449802", "GSM2449803", "GSM2449804", "GSM2449805", "GSM2449806", "GSM2449807", "GSM2449808", "GSM2449809", "GSM2449810", "GSM2449811", "GSM2449812", "GSM2449813", "GSM2449814", "GSM2449815", "GSM2449816", "GSM2449817", "GSM2449818", "GSM2449819", "GSM2449820", "GSM2449821", "GSM2449822", "GSM2449823", "GSM2449824", "GSM2449825", "GSM2449826", "GSM2449827", "GSM2449828", "GSM2449829", "GSM2449830", "GSM2449831", "GSM2449832", "GSM2449833", "GSM2449834", "GSM2449835", "GSM2449836", "GSM2449837", "GSM2449839", "GSM2449840", "GSM2449841", "GSM2449842", "GSM2449843", "GSM2449844", "GSM2449845", "GSM2449846", "GSM2449847", "GSM2449848", "GSM2449849", "GSM2449850", "GSM2449851", "GSM2449852", "GSM2449853", "GSM2449854", "GSM2449855", "GSM2449856", "GSM2449857", "GSM2449858", "GSM2449859", "GSM2449860", "GSM2449861", "GSM2449863", "GSM2449864", "GSM2449865", "GSM2449866", "GSM2449867", "GSM2449868", "GSM2449869", "GSM2449870", "GSM2449871", "GSM2449872", "GSM2449873", "GSM2449874", "GSM2449875", "GSM2449876", "GSM2449877", "GSM2449878", "GSM2449879", "GSM2449880", "GSM2449881", "GSM2449882", "GSM2449883", "GSM2449884", "GSM2449885", "GSM2449886", "GSM2449887"], "sample_count": 275, "group_sizes": null, "group_sizes_basis": null, "platform": "570", "taxon": "Homo sapiens", "title": "Whole blood gene expression of rheumatoid arthritis", "resolution_checked_at": "2026-11-01T17:30:42Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}], "gaps": ["asset:data:geo:GSE45291 not downloaded", "asset:data:geo:GSE45291 licence not read", "asset:data:geo:GSE93272 not downloaded", "asset:data:geo:GSE93272 licence not read"]}, "analysis": {"state": "complete", "methods": [{"id": "method-1", "family": "survival_analysis", "specific": "cox_proportional_hazards", "label": "Survival analysis", "dsl_operations": ["cox_ph"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["time_to_event_with_censoring"], "evidence": {"score": 1.0, "band": "verbatim", "quote": "We identified hub genes by multivariate Cox regression analysis and receiver operating characteristic (ROC) curves."}}], "targets": [{"id": "target-published-estimate", "claim_id": "claim-target-result", "operation": "cox_ph", "expected_value": 95.0, "unit": "per cent", "tolerance": null, "state": "complete", "note": "The published estimate as the reader quoted it from the paper. No tolerance is published because the paper states none."}], "gaps": []}, "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": true, "required_operations": ["cox_ph"], "missing_operations": [], "basis": "The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: cox_proportional_hazards."}, "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": ["GSE93272", "GSE45291"], "resolved_accessions": ["GSE93272", "GSE45291"], "statements": ["The GSE93272 and GSE45291 datasets used in this study were downloaded from the Gene Expression Omnibus (GEO)(https://www.ncbi.nlm.nih.gov/geo/ ). The software/package used in this study can be found in the Sangerbox platform (http://vip.sangerbox.com/home.html)."], "basis": "The paper names GSE93272, GSE45291 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": ["cox_ph"], "assets": ["source:pmid:40082645", "data:geo:GSE45291"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:GSE45291"]}, "gaps": []}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-11-01T19:48:26Z", "independence": "single_reader"}, "evidence_check": {"method": "verbatim", "availability": "verbatim"}, "calls": 5, "usage": {"prompt_tokens": 21297, "completion_tokens": 1692, "cached_tokens": 128}}, "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:40082645", "type": "paper", "label": "pmid:40082645"}, {"id": "source:pmid:40082645", "type": "manuscript", "label": "PMID 40082645 full text"}, {"id": "data:geo:GSE45291", "type": "dataset", "label": "GEO GSE45291"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:40082645", "type": "paper", "label": "pmid:40082645"}, {"id": "source:pmid:40082645", "type": "manuscript", "label": "PMID 40082645 full text"}, {"id": "data:geo:GSE45291", "type": "dataset", "label": "GEO GSE45291"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-40082645", "type": "extraction", "used": ["source:pmid:40082645"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-GSE45291", "type": "accession_resolution", "used": ["data:geo:GSE45291"], "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:40082645", "parent_hash": "sha256:4ef1fe94f36ee33aa88a991e35eb3ddd31b5c742b8f995ed752dad6d90f10cc9", "fork_of": null, "generation": 1}, "gaps": ["asset:data:geo:GSE45291 licence not read", "asset:data:geo:GSE45291 not downloaded", "asset:data:geo:GSE93272 licence not read", "asset:data:geo:GSE93272 not downloaded", "execution.not_run", "review.human_critique", "review.independent_reader", "review.machine_critique"], "assays": [{"role": "data_generation", "definition_id": "microarray", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.93, "evidence": ["A and revealed potential targeted drugs. Two microarray datasets (GSE93272, GSE45291) related to RA"], "order_basis": "paper_text_order:328", "id": "assay:1"}, {"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": ["judge their potential quality as biomarkers. RT-qPCR were used to validate the expression of hub", "RNAs and 34 TFs was identified. Finally, the RT-qPCR results showed that OXSM was significantly i", "ge their potential quality as biomarkers. RT-qPCR were used to validate the expression of hub", "s and 34 TFs was identified. Finally, the RT-qPCR results showed that OXSM was significantly i"], "order_basis": "paper_text_order:862", "id": "assay:2"}, {"role": "analysis", "definition_id": "survival_analysis", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["cox_ph"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 1.0, "evidence": ["We identified hub genes by multivariate Cox regression analysis and receiver operating characteristic (ROC) curves."], "order_basis": "consumes_earlier_output", "id": "assay:3"}]},"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":"2026-11-04T00:38:14+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}}}