{"data":{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:33823876", "kind": "science-record", "revision": 7, "content_hash": "sha256:71e9fcc819e743b850482a4e42bd54dd9985280d53e70b970073a94e89d497c3", "created_at": "2026-11-01T15:41:31Z", "updated_at": "2026-11-01T22:03:29Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Screening of gene markers related to the prognosis of metastatic skin cutaneous melanoma based on Logit regression and survival analysis.", "doi": "10.1186/s12920-021-00923-0", "pmid": "33823876", "authors": ["Guoliang Jia", "Zheyu Song", "Zhonghang Xu", "Youmao Tao", "Yuanyu Wu", "Xiaoyu Wan"], "journal": "BMC medical genomics", "year": 2021, "abstract": "BACKGROUND: Bioinformatics was used to analyze the skin cutaneous melanoma (SKCM) gene expression profile to provide a theoretical basis for further studying the mechanism underlying metastatic SKCM and the clinical prognosis.\nMETHODS: We downloaded the gene expression profiles of 358 metastatic and 102 primary (nonmetastatic) CM samples from The Cancer Genome Atlas (TCGA) database as a training dataset and the GSE65904 dataset from the National Center for Biotechnology Information database as a validation dataset. Differentially expressed genes (DEGs) were screened using the limma package of R3.4.1, and prognosis-related feature DEGs were screened using Logit regression (LR) and survival analyses. We also used the STRING online database, Cytoscape software, and Database for Annotation, Visualization and Integrated Discovery software for protein-protein interaction network, Gene Ontology, and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses based on the screened DEGs.\nRESULTS: Of the 876 DEGs selected, 11 (ZNF750, NLRP6, TGM3, KRTDAP, CAMSAP3, KRT6C, CALML5, SPRR2E, CD3G, RTP5, and FAM83C) were screened using LR analysis. The survival prognosis of nonmetastatic group was better compared to the metastatic group between the TCGA training and validation datasets. The 11 DEGs were involved in 9 KEGG signaling pathways, and of these 11 DEGs, CALML5 was a feature DEG involved in the melanogenesis pathway, 12 targets of which were collected.\nCONCLUSION: The feature DEGs screened, such as CALML5, are related to the prognosis of metastatic CM according to LR. Our results provide new ideas for exploring the molecular mechanism underlying CM metastasis and finding new diagnostic prognostic markers.", "claims": [{"id": "claim-method", "statement": "With univariate and multivariate Cox regression analysis in the survival package of R3.4.1, we screened 61 independent prognostic DEGs, and then using LR and cluster analysis, we successfully screened 11 feature DEGs: ZNF750, NLRP6, TGM3, KRTDAP, CAMSAP3, KRT6C, CALML5, SPRR2E, CD3G, RTP5, and FAM83C.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33823876", "locator": "sections[16] \"Discussion\" paragraph 3", "quote": "With univariate and multivariate Cox regression analysis in the survival package of R3.4.1, we screened 61 independent prognostic DEGs, and then using LR and cluster analysis, we successfully screened 11 feature DEGs: ZNF750, NLRP6, TGM3, KRTDAP, CAMSAP3, KRT6C, CALML5, SPRR2E, CD3G, RTP5, and FAM83C."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The datasets supporting the conclusions of this article are available in the [GSE65904] and [TCGA] repository, [https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE65904] and [https://xenabrowser.net/datapages/?cohort=GDC%20TCGA%20Melanoma%20(SKCM)&removeHub=https%3A%2F%2Fxena.treehouse.gi.ucsc.edu%3A443].", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33823876", "locator": "sections[22] \"Availability of data and materials\" paragraph 2", "quote": "The datasets supporting the conclusions of this article are available in the [GSE65904] and [TCGA] repository, [https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE65904] and [https://xenabrowser.net/datapages/?cohort=GDC%20TCGA%20Melanoma%20(SKCM)&removeHub=https%3A%2F%2Fxena.treehouse.gi.ucsc.edu%3A443]."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "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:33823876"], "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:GSE65904"], "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:GSE65904"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:33823876", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1186/s12920-021-00923-0", "sha256": "sha256:7f48ccf902231e7d464fce10c372158b057a001bedfe3ee9cb171e1bfe0f1e87", "bytes": 34201, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.1186/s12920-021-00923-0", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC8022370", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE65904", "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=GSE65904", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE65904", "version": null, "note": "The datasets supporting the conclusions of this article are available in the [GSE65904] and [TCGA] repository, [https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE65904] and [https://xenabrowser.net/datapages/?cohort=GDC%20TCGA%20Melanoma%20(SKCM)&removeHub=https%3A%2F%2Fxena.treehouse.gi.ucsc.edu%3A443].", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The datasets supporting the conclusions of this article are available in the [GSE65904] and [TCGA] repository, [https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE65904] and [https://xenabrowser.net/datapages/?cohort=GDC%20TCGA%20Melanoma%20(SKCM)&removeHub=https%3A%2F%2Fxena.treehouse.gi.ucsc.edu%3A443].", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM1608593", "GSM1608594", "GSM1608595", "GSM1608596", "GSM1608597", "GSM1608598", "GSM1608599", "GSM1608600", "GSM1608601", "GSM1608602", "GSM1608603", "GSM1608604", "GSM1608605", "GSM1608606", "GSM1608607", "GSM1608608", "GSM1608609", "GSM1608610", "GSM1608611", "GSM1608612", "GSM1608613", "GSM1608614", "GSM1608615", "GSM1608616", "GSM1608617", "GSM1608618", "GSM1608619", "GSM1608620", "GSM1608621", "GSM1608622", "GSM1608623", "GSM1608624", "GSM1608625", "GSM1608626", "GSM1608627", "GSM1608628", "GSM1608629", "GSM1608630", "GSM1608631", "GSM1608632", "GSM1608633", "GSM1608634", "GSM1608635", "GSM1608636", "GSM1608637", "GSM1608638", "GSM1608639", "GSM1608640", "GSM1608641", "GSM1608642", "GSM1608643", "GSM1608644", "GSM1608645", "GSM1608646", "GSM1608647", "GSM1608648", "GSM1608649", "GSM1608650", "GSM1608651", "GSM1608652", "GSM1608653", "GSM1608654", "GSM1608655", "GSM1608656", "GSM1608657", "GSM1608658", "GSM1608659", "GSM1608660", "GSM1608661", "GSM1608662", "GSM1608663", "GSM1608664", "GSM1608665", "GSM1608666", "GSM1608667", "GSM1608668", "GSM1608669", "GSM1608670", "GSM1608671", "GSM1608672", "GSM1608673", "GSM1608674", "GSM1608675", "GSM1608676", "GSM1608677", "GSM1608678", "GSM1608679", "GSM1608680", "GSM1608681", "GSM1608682", "GSM1608683", "GSM1608684", "GSM1608685", "GSM1608686", "GSM1608687", "GSM1608688", "GSM1608689", "GSM1608690", "GSM1608691", "GSM1608692", "GSM1608693", "GSM1608694", "GSM1608695", "GSM1608696", "GSM1608697", "GSM1608698", "GSM1608699", "GSM1608700", "GSM1608701", "GSM1608702", "GSM1608703", "GSM1608704", "GSM1608705", "GSM1608706", "GSM1608707", "GSM1608708", "GSM1608709", "GSM1608710", "GSM1608711", "GSM1608712", "GSM1608713", "GSM1608714", "GSM1608715", "GSM1608716", "GSM1608717", "GSM1608718", "GSM1608719", "GSM1608720", "GSM1608721", "GSM1608722", "GSM1608723", "GSM1608724", "GSM1608725", "GSM1608726", "GSM1608727", "GSM1608728", "GSM1608729", "GSM1608730", "GSM1608731", "GSM1608732", "GSM1608733", "GSM1608734", "GSM1608735", "GSM1608736", "GSM1608737", "GSM1608738", "GSM1608739", "GSM1608740", "GSM1608741", "GSM1608742", "GSM1608743", "GSM1608744", "GSM1608745", "GSM1608746", "GSM1608747", "GSM1608748", "GSM1608749", "GSM1608750", "GSM1608751", "GSM1608752", "GSM1608753", "GSM1608754", "GSM1608755", "GSM1608756", "GSM1608757", "GSM1608758", "GSM1608759", "GSM1608760", "GSM1608761", "GSM1608762", "GSM1608763", "GSM1608764", "GSM1608765", "GSM1608766", "GSM1608767", "GSM1608768", "GSM1608769", "GSM1608770", "GSM1608771", "GSM1608772", "GSM1608773", "GSM1608774", "GSM1608775", "GSM1608776", "GSM1608777", "GSM1608778", "GSM1608779", "GSM1608780", "GSM1608781", "GSM1608782", "GSM1608783", "GSM1608784", "GSM1608785", "GSM1608786", "GSM1608787", "GSM1608788", "GSM1608789", "GSM1608790", "GSM1608791", "GSM1608792", "GSM1608793", "GSM1608794", "GSM1608795", "GSM1608796", "GSM1608797", "GSM1608798", "GSM1608799", "GSM1608800", "GSM1608801", "GSM1608802", "GSM1608803", "GSM1608804", "GSM1608805", "GSM1608806"], "sample_count": 214, "group_sizes": null, "group_sizes_basis": null, "platform": "10558", "taxon": "Homo sapiens", "title": "Whole-genome expression analysis of melanoma tumor biopsies from a population-based cohort.", "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:33823876:1", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:4e72596e23803101fb102a2933c3432f43e30220661700ced9a92b29501cf06c", "bytes": 1065, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[3]/table-wrap[1]#Tab1", "version": null, "note": "Statistical comparison of clinical information of two types of CM samples in TCGA training data set", "structure": {"pmcid": "PMC8022370", "section_index": 3, "section_title": "Gene expression profile data and clinical information", "row_count": 11, "column_count": 4}, "table": {"label": "Table 1", "caption": "Statistical comparison of clinical information of two types of CM samples in TCGA training data set", "rows": [["Clinical characteristics", "With metastatic(N = 358)", "Without metastatic(N = 102)", "P value"], ["Age (years, mean ± sd)", "56.26 ± 15.73", "64.53 ± 13.91", "7.10E−07a"], ["Gender (Male/Female)", "226/132", "60/42", "0.488b"], ["Pathologic_M (M0/M1/–)", "313/21/24", "97/3/2", "0.317b"], ["Pathologic_N (N0/N1/N2/N3/–)", "172/65/39/44/38", "57/8/10/11/16", "0.0785b"], ["Pathologic_T (T0/T1/T2/T3/T4/–)", "23/40/72/80/67/76", "0/1/5/10/84/2", "2.2E−16b"], ["Pathologic_stage (I/II/III/IV/–)", "81/74/142/20/41", "2/65/27/3/5", "1.133E−15b"], ["Radiotherapy (Yes/No/–)", "47/310/1", "2/100/0", "4.395E−04b"], ["Tumor recurrence (Yes/No/–)", "69/135/154", "20/72/10", "0.0402b"], ["Dead (Death/Alive)", "193/165", "29/73", "0.0715b"], ["Overall survival time (months, mean ± sd)", "74.10 ± 67.91", "47.15 ± 10.04", "5.279E−22a"]], "row_count": 11, "column_count": 4, "numeric_cells": 32, "header_rows": 1, "locator": "section[3]/table-wrap[1]#Tab1"}}, {"id": "asset:table:pmid:33823876:2", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:0cb1d9472fc723df05d08bb8a3e370912ec5c632d565fbc9ba48365b20e9016a", "bytes": 1128, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[10]/table-wrap[1]#Tab2", "version": null, "note": "Statistical comparison of clinical information among samples in clusters based on DEGs expression levels", "structure": {"pmcid": "PMC8022370", "section_index": 10, "section_title": "DEG screening", "row_count": 12, "column_count": 4}, "table": {"label": "Table 2", "caption": "Statistical comparison of clinical information among samples in clusters based on DEGs expression levels", "rows": [["Clinical characteristics", "Cluster 1 (N = 247)", "Cluster 2 (N = 213)", "P value"], ["Age (years, mean ± sd)", "54.96 ± 15.41", "61.74 ± 15.29", "3.07E−06a"], ["Gender (Male/Female)", "152/95", "134/79", "0.773b"], ["Pathologic_M (M0/M1/–)", "219/14/14", "191/10/12", "0.679b"], ["Pathologic_N (N0/N1/N2/N3/–)", "118/42/28/33/26", "111/31/21/22/28", "0.599b"], ["Pathologic_T (T0/T1/T2/T3/T4/–)", "20/33/51/54/44/45", "3/8/26/36/107/33", "2.893E−13b"], ["Pathologic_stage (I/II/III/IV/–)", "66/43/97/14/27", "17/96/72/9/19", "6.568E−12b"], ["Radiotherapy (Yes/No/–)", "35/212/0", "14/198/1", "0.00975b"], ["Tumor recurrence (Yes/No/–)", "45/107/95", "44/100/69", "0.899b"], ["Tumor metastatic (Yes/No)", "235/12", "123/90", "2.200E−16b"], ["Dead (Death/Alive)", "111/136", "111/102", "0.149b"], ["Overall survival time (months, mean ± sd)", "78.21 ± 71.12", "42.07 ± 49.53", "4.269E−10a"]], "row_count": 12, "column_count": 4, "numeric_cells": 35, "header_rows": 1, "locator": "section[10]/table-wrap[1]#Tab2"}}, {"id": "asset:table:pmid:33823876:3", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:794d0671121e30a92382592a188603662a8fe2f46adadee4940f6043b1a9b368", "bytes": 759, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[12]/table-wrap[1]#Tab3", "version": null, "note": "List of important prognostic feature DEGs screened by Logit model", "structure": {"pmcid": "PMC8022370", "section_index": 12, "section_title": "Screening of feature DEGs by LR", "row_count": 12, "column_count": 5}, "table": {"label": "Table 3", "caption": "List of important prognostic feature DEGs screened by Logit model", "rows": [["Gene", "B", "SE", "Df", "P value"], ["ZNF750", "− 7.07556", "3.11741", "1", "0.02323"], ["NLRP6", "− 3.81707", "1.92378", "1", "0.04724"], ["TGM3", "− 3.63216", "1.08106", "1", "0.00078"], ["KRTDAP", "− 1.36009", "0.65739", "1", "0.03855"], ["CAMSAP3", "− 1.18449", "0.52553", "1", "0.0242"], ["KRT6C", "− 0.96555", "0.44870", "1", "0.03141"], ["CALML5", "1.47087", "0.57774", "1", "0.0109"], ["SPRR2E", "1.59208", "0.53097", "1", "0.00271"], ["CD3G", "4.12233", "1.77857", "1", "0.02046"], ["RTP5", "7.35929", "2.91801", "1", "0.01167"], ["FAM83C", "9.35699", "3.95983", "1", "0.01813"]], "row_count": 12, "column_count": 5, "numeric_cells": 46, "header_rows": 1, "locator": "section[12]/table-wrap[1]#Tab3"}}, {"id": "asset:table:pmid:33823876:4", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:87d14b555f0fe92386db6ef490abeaeb0cd80a021c9dc93e847383619e2c766f", "bytes": 562, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[12]/table-wrap[2]#Tab4", "version": null, "note": "Fuzzy matrix of LR classification result", "structure": {"pmcid": "PMC8022370", "section_index": 12, "section_title": "Screening of feature DEGs by LR", "row_count": 10, "column_count": 5}, "table": {"label": "Table 4", "caption": "Fuzzy matrix of LR classification result", "rows": [["Dataset name", "Predict"], ["Class", "Metastatic", "Primary", "Percent"], ["TCGA dataset", "Observed", "", "", ""], ["", "Metastatic", "350", "8", "97.77"], ["", "Primary", "25", "77", "75.49"], ["Overall percent", "", "", "", "92.83"], ["GSE65904 microarray dataset", "Observed", "", "", ""], ["", "Metastatic", "72", "11", "86.75"], ["", "Primary", "27", "40", "59.70"], ["Overall percent", "", "", "", "74.67"]], "row_count": 10, "column_count": 5, "numeric_cells": 15, "header_rows": 2, "locator": "section[12]/table-wrap[2]#Tab4"}}, {"id": "asset:table:pmid:33823876:5", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:6d962b543c14bd65d6156a4c95f17a5b2c32b48042561aab433f1f37b28c39cb", "bytes": 2747, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[15]/table-wrap[1]#Tab5", "version": null, "note": "GO biological processes and KEGG signaling pathways in which genes are significantly related in the interaction network", "structure": {"pmcid": "PMC8022370", "section_index": 15, "section_title": "GO and KEGG signaling pathway enrichment analysis", "row_count": 31, "column_count": 5}, "table": {"label": "Table 5", "caption": "GO biological processes and KEGG signaling pathways in which genes are significantly related in the interaction network", "rows": [["Category", "Term", "Count", "Gene", "P value"], ["Biology Process", "GO:0,031,424 ~ keratinization", "20", "TGM3, HRNR", "3.18E−35"], ["", "GO:0,008,544 ~ epidermis development", "22", "CALML5, ZNF750", "9.46E−34"], ["", "GO:0,030,216 ~ keratinocyte differentiation", "19", "TGM3, TP63", "1.04E−28"], ["", "GO:0,018,149 ~ peptide cross-linking", "14", "LCE5A, EVPL", "8.98E−22"], ["", "GO:0,061,436 ~ establishment of skin barrier", "9", "HRNR, FLG", "2.25E−16"], ["", "GO:0,045,104 ~ intermediate filament cytoskeleton organization", "4", "KRT6C, KRT3", "2.92E−06"], ["", "GO:0,043,163 ~ cell envelope organization", "3", "HRNR, TGM3", "4.98E−06"], ["", "GO:0,016,337 ~ single organismal cell–cell adhesion", "6", "PKP1, DSG1", "5.90E−06"], ["", "GO:0,042,060 ~ wound healing", "5", "NLRP6, KRT6A", "3.26E−05"], ["", "GO:0,045,109 ~ intermediate filament organization", "3", "KRT17, KRT2", "1.92E−04"], ["", "GO:0,030,855 ~ epithelial cell differentiation", "4", "KRT14, KRT3", "2.99E−04"], ["", "GO:0,007,010 ~ cytoskeleton organization", "5", "KRT6B, KRT5", "4.34E−04"], ["", "GO:0,031,069 ~ hair follicle morphogenesis", "3", "KRT17, TGM3", "5.47E−04"], ["", "GO:0,010,482 ~ regulation of epidermal cell division", "2", "TP63, SFN", "1.23E−03"], ["", "GO:0,045,110 ~ intermediate filament bundle assembly", "2", "PKP1, KRT14", "1.23E−03"], ["", "GO:0,051,546 ~ keratinocyte migration", "2", "KRT16, KRT2", "2.04E−03"], ["", "GO:0,045,087 ~ innate immune response", "6", "NLRP6,SH2D1A", "3.18E−03"], ["", "GO:0,010,838 ~ positive regulation of keratinocyte proliferation", "2", "TGM1, TP63", "3.64E−03"], ["", "GO:0,003,334 ~ keratinocyte development", "2", "KRT2, SFN", "4.04E−03"], ["", "GO:0,031,581 ~ hemidesmosome assembly", "2", "KRT, KRT14", "4.82E−03"], ["", "GO:0,043,616 ~ keratinocyte proliferation", "2", "TP63, KRT2", "4.82E−03"], ["KEGG Pathway", "hsa04020:Calcium signaling pathway", "3", "CALML3, CALML5", "9.31E−03"], ["", "hsa04070:Phosphatidylinositol signaling system", "2", "CALML3, CALML5", "1.98E−02"], ["", "hsa04640:Hematopoietic cell lineage", "2", "CD3G, IL7R", "2.26E−02"], ["", "hsa04912:GnRH signaling pathway", "2", "CALML3, CALML5", "2.53E−02"], ["", "hsa04916:Melanogenesis", "2", "CALML3, CALML5", "2.56E−02"], ["", "hsa04114:Oocyte meiosis", "2", "CALML3, CALML5", "2.80E−02"], ["", "hsa04270:Vascular smooth muscle contraction", "2", "CALML3, CALML5", "2.84E−02"], ["", "hsa04722:Neurotrophin signaling pathway", "2", "CALML3, CALML5", "3.10E−02"], ["", "hsa04910:Insulin signaling pathway", "2", "CALML3, CALML5", "3.32E−02"]], "row_count": 31, "column_count": 5, "numeric_cells": 101, "header_rows": 1, "locator": "section[15]/table-wrap[1]#Tab5"}}], "gaps": ["asset:data:geo:GSE65904 not downloaded", "asset:data:geo:GSE65904 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": "With univariate and multivariate Cox regression analysis in the survival package of R3.4.1, we screened 61 independent prognostic DEGs, and then using LR and cluster analysis, we successfully screened 11 feature DEGs: ZNF750, NLRP6, TGM3, KRTDAP, CAMSAP3, KRT6C, CALML5, SPRR2E, CD3G, RTP5, and FAM83C."}}, {"id": "method-2", "family": "survival_analysis", "specific": "kaplan_meier", "label": "Survival analysis", "dsl_operations": ["survival_km"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["time_to_event_with_censoring"], "evidence": {"score": 0.8, "band": "high", "quote": "KM"}}, {"id": "method-3", "family": "differential_expression", "specific": "limma_voom", "label": "Differential expression analysis", "dsl_operations": ["normalise_counts", "differential_expression_fit", "fdr_bh"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["count_matrix_with_condition"], "evidence": {"score": 0.7, "band": "medium", "quote": "limma"}}, {"id": "method-4", "family": "correlation_analysis", "specific": "pearson", "label": "Correlation analysis", "dsl_operations": ["pearson_r"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["paired_numeric_columns"], "evidence": {"score": 0.8, "band": "high", "quote": "Pearson correlation"}}, {"id": "method-5", "family": "clustering", "specific": "hierarchical", "label": "Clustering", "dsl_operations": ["hierarchical_cluster"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["feature_matrix"], "evidence": {"score": 0.8, "band": "high", "quote": "hierarchical clustering"}}, {"id": "method-6", "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"}}], "targets": [], "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": ["GSE65904"], "resolved_accessions": ["GSE65904"], "statements": ["The datasets supporting the conclusions of this article are available in the [GSE65904] and [TCGA] repository, [https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE65904] and [https://xenabrowser.net/datapages/?cohort=GDC%20TCGA%20Melanoma%20(SKCM)&removeHub=https%3A%2F%2Fxena.treehouse.gi.ucsc.edu%3A443]."], "basis": "The paper names GSE65904 in GSE65904 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:33823876", "data:geo:GSE65904", "asset:table:pmid:33823876:1", "asset:table:pmid:33823876:2", "asset:table:pmid:33823876:3", "asset:table:pmid:33823876:4", "asset:table:pmid:33823876:5"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:GSE65904"]}, "gaps": []}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-10-31T18:28:51Z", "independence": "single_reader"}, "evidence_check": {"method": "verbatim", "availability": "verbatim"}, "calls": 3, "usage": {"prompt_tokens": 28075, "completion_tokens": 2010, "cached_tokens": 792}}, "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:33823876", "type": "paper", "label": "pmid:33823876"}, {"id": "source:pmid:33823876", "type": "manuscript", "label": "PMID 33823876 full text"}, {"id": "data:geo:GSE65904", "type": "dataset", "label": "GEO GSE65904"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:33823876", "type": "paper", "label": "pmid:33823876"}, {"id": "source:pmid:33823876", "type": "manuscript", "label": "PMID 33823876 full text"}, {"id": "data:geo:GSE65904", "type": "dataset", "label": "GEO GSE65904"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-33823876", "type": "extraction", "used": ["source:pmid:33823876"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-GSE65904", "type": "accession_resolution", "used": ["data:geo:GSE65904"], "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:33823876", "parent_hash": "sha256:f40fd183441ee978a3927f434ae02f455cdd7636ce9f78acf449da391d49c95c", "fork_of": null, "generation": 6}, "gaps": ["asset:data:geo:GSE65904 licence not read", "asset:data:geo:GSE65904 not downloaded", "execution.not_run", "review.human_critique", "review.independent_reader", "review.machine_critique"], "assays": [{"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": ["With univariate and multivariate Cox regression analysis in the survival package of R3.4.1, we screened 61 independent prognostic DEGs, and then using LR and cluster analysis, we successfully screened 11 feature DEGs: ZNF750, NLRP6, TGM3, KRTDAP, CAMSAP3, KRT6C, CALML5, SPRR2E, CD3G, RTP5, and FAM83C."], "order_basis": "analysis_only", "id": "assay:1"}]},"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":"2026-11-04T00:33:06+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}}}