{"data":{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:37354488", "kind": "science-record", "revision": 2, "content_hash": "sha256:453beb450e391278192def99af61614ac581c29fc30c1869e6cf7a98ed401c97", "created_at": "2026-11-01T19:02:05Z", "updated_at": "2026-11-01T21:31:02Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "An integrated bioinformatic investigation of focal adhesion-related genes in glioma followed by preliminary validation of COL1A2 in tumorigenesis.", "doi": "10.18632/aging.204834", "pmid": "37354488", "authors": ["Guojun Yao", "Ling Deng", "Xinquan Long", "Yufan Zhou", "Xiang Zhou"], "journal": "Aging", "year": 2023, "abstract": "Focal adhesions (FAs) allow cells to contact the extracellular matrix, helping to maintain tension and enabling signal transmission in cell migration, differentiation, and apoptosis. In addition, FAs are associated with changes in the tumor microenvironment (TME) that lead to malignant progression and drug resistance in tumors. However, there are still few studies on the comprehensive analysis of focal adhesion-related genes (FARGs) in glioma. Expression data and clinical information of glioma samples were downloaded from public databases. Two distinct molecular subtypes were identified based on FARGs using an unsupervised consensus clustering algorithm. A scoring system consisting of nine FARGs was constructed using integrated LASSO regression and multivariate Cox regression. It not only has outstanding prognostic value but also can guide immunotherapy of glioma patients, which was verified in TCGA, CGGA, GSE16011, and IMvigor210 cohorts. The results of bioinformatics analysis, immunohistochemistry staining, and western blotting all revealed that the expression of COL1A2 was up-regulated in glioblastoma and related to poor prognosis outcomes in patients from public datasets. COL1A2 promotes the proliferation, migration, and invasion of glioblastoma cells. A positive correlation between COL1A2 and CD8 was determined in GBM specimens from eight patients. Moreover, the results of cell co-cultured assay showed that COL1A2 participated in the killing of GBM cells by Jurkat cells. Our study indicates that the FARGs have prominent application value in the identification of molecular subtypes and prediction of survival outcomes in glioma patients. Bioinformatics analysis and experimental verification provide a direction for further research on FARGs.", "claims": [{"id": "claim-method", "statement": "We screened 175 FARGs with prognostic significance from 192 FARGs using uni-Cox regression analysis. 175 FARGs were further screened by lasso algorithm and multi-Cox regression analysis, and nine FARGs were finally obtained to construct a scoring system: risk score = sum (gene expression × coefficient).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37354488", "locator": "sections[21] \"Construction of a scoring system and verification of its prognostic value\" paragraph 2", "quote": "We screened 175 FARGs with prognostic significance from 192 FARGs using uni-Cox regression analysis. 175 FARGs were further screened by lasso algorithm and multi-Cox regression analysis, and nine FARGs were finally obtained to construct a scoring system: risk score = sum (gene expression × coefficient)."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The Cancer Genome Atlas (TCGA) database: https://portal.gdc.cancer.gov/. Chinese Glioma Genome Atlas (CGGA) database: http://www.cgga.org.cn/. Gene Expression Omnibus (GEO) databse: https://www.ncbi.nlm.nih.gov/geo/. National Human Genome Research Institute Home (NIH): https://www.genome.gov/. Data Visualization Tools for Brain Tumor Datasets (GlioVis): http://gliovis.bioinfo.cnio.es/. Molecular Signatures Database: https://www.gsea-msigdb.org/gsea/index.jsp. Gene Expression Profiling Interactive Analysis (GEPIA) database: http://gepia.cancer-pku.cn/detail.php. Tumor Immune Dysfunction and Exclusion (TIDE): http://tide.dfci.harvard.edu/. IMvigor210 cohort: http://research-pub.gene.com/IMvigor210CoreBiologies).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37354488", "locator": "sections[31] \"Availability of data and materials\" paragraph 2", "quote": "The Cancer Genome Atlas (TCGA) database: https://portal.gdc.cancer.gov/. Chinese Glioma Genome Atlas (CGGA) database: http://www.cgga.org.cn/. Gene Expression Omnibus (GEO) databse: https://www.ncbi.nlm.nih.gov/geo/. National Human Genome Research Institute Home (NIH): https://www.genome.gov/. Data Visualization Tools for Brain Tumor Datasets (GlioVis): http://gliovis.bioinfo.cnio.es/. Molecular Signatures Database: https://www.gsea-msigdb.org/gsea/index.jsp. Gene Expression Profiling Interactive Analysis (GEPIA) database: http://gepia.cancer-pku.cn/detail.php. Tumor Immune Dysfunction and Exclusion (TIDE): http://tide.dfci.harvard.edu/. IMvigor210 cohort: http://research-pub.gene.com/IMvigor210CoreBiologies)."}], "state": "complete"}, {"id": "claim-target-result", "statement": "Nine focal adhesion-related genes were selected using uni-Cox regression, LASSO, and multi-Cox regression to construct a prognostic risk-score system.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:37354488", "locator": "sections[21] \"Construction of a scoring system and verification of its prognostic value\" paragraph 2", "quote": "175 FARGs were further screened by lasso algorithm and multi-Cox regression analysis, and nine FARGs were finally obtained to construct a scoring system: risk score = sum (gene expression × coefficient)."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "Nine focal adhesion-related genes were selected using uni-Cox regression, LASSO, and multi-Cox regression to construct a prognostic risk-score system.", "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:37354488"], "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:GSE16011"], "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:GSE16011"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:37354488", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.18632/aging.204834", "sha256": "sha256:0c4c7b6e3f3d834b1bec4b373b6c4ff66d68d0e8350aae230a823de3f9b69cb0", "bytes": 68216, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.18632/aging.204834", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC10373961", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE16011", "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=GSE16011", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE16011", "version": null, "note": "The Cancer Genome Atlas (TCGA) database: https://portal.gdc.cancer.gov/. Chinese Glioma Genome Atlas (CGGA) database: http://www.cgga.org.cn/. Gene Expression Omnibus (GEO) databse: https://www.ncbi.nlm.nih.gov/geo/. National Human Genome Research Institute Home (NIH): https://www.genome.gov/. Data Visualization Tools for Brain Tumor Datasets (GlioVis): http://gliovis.bioinfo.cnio.es/. Molecular Signatures Database: https://www.gsea-msigdb.org/gsea/index.jsp. Gene Expression Profiling Interactive Analysis (GEPIA) database: http://gepia.cancer-pku.cn/detail.php. Tumor Immune Dysfunction and Exclusion (TIDE): http://tide.dfci.harvard.edu/. IMvigor210 cohort: http://research-pub.gene.com/IMvigor210CoreBiologies).", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The Cancer Genome Atlas (TCGA) database: https://portal.gdc.cancer.gov/. Chinese Glioma Genome Atlas (CGGA) database: http://www.cgga.org.cn/. Gene Expression Omnibus (GEO) databse: https://www.ncbi.nlm.nih.gov/geo/. National Human Genome Research Institute Home (NIH): https://www.genome.gov/. Data Visualization Tools for Brain Tumor Datasets (GlioVis): http://gliovis.bioinfo.cnio.es/. Molecular Signatures Database: https://www.gsea-msigdb.org/gsea/index.jsp. Gene Expression Profiling Interactive Analysis (GEPIA) database: http://gepia.cancer-pku.cn/detail.php. Tumor Immune Dysfunction and Exclusion (TIDE): http://tide.dfci.harvard.edu/. 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Profiles of Gliomas are a Better Predictor of Survival than Histology", "resolution_checked_at": "2026-11-01T15:39:54Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}], "gaps": ["asset:data:geo:GSE16011 not downloaded", "asset:data:geo:GSE16011 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 screened 175 FARGs with prognostic significance from 192 FARGs using uni-Cox regression analysis. 175 FARGs were further screened by lasso algorithm and multi-Cox regression analysis, and nine FARGs were finally obtained to construct a scoring system: risk score = sum (gene expression × 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IMvigor210 cohort: http://research-pub.gene.com/IMvigor210CoreBiologies)."], "basis": "The paper names GSE16011 in Gene Expression Omnibus (GEO) database 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:37354488", "data:geo:GSE16011"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:GSE16011"]}, "gaps": []}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-11-01T18:44:55Z", "independence": "single_reader"}, "evidence_check": {"method": "verbatim", "availability": "verbatim"}, "calls": 5, "usage": {"prompt_tokens": 19739, "completion_tokens": 2929, "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:37354488", "type": "paper", "label": "pmid:37354488"}, {"id": "source:pmid:37354488", "type": "manuscript", "label": "PMID 37354488 full text"}, {"id": "data:geo:GSE16011", "type": "dataset", "label": "GEO GSE16011"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:37354488", "type": "paper", "label": "pmid:37354488"}, {"id": "source:pmid:37354488", "type": "manuscript", "label": "PMID 37354488 full text"}, {"id": "data:geo:GSE16011", "type": "dataset", "label": "GEO GSE16011"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-37354488", "type": "extraction", "used": ["source:pmid:37354488"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-GSE16011", "type": "accession_resolution", "used": ["data:geo:GSE16011"], "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:37354488", "parent_hash": "sha256:a4fb016bf127bc6a1b194d8dfc399c2f55e48dd3c59aadc6f89f2d982cddfff9", "fork_of": null, "generation": 1}, "gaps": ["asset:data:geo:GSE16011 licence not read", "asset:data:geo:GSE16011 not downloaded", "execution.not_run", "review.human_critique", "review.independent_reader", "review.machine_critique"], "assays": [{"role": "data_generation", "definition_id": "apoptosis_assay", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.69, "evidence": ["sion in cell migration, differentiation, and apoptosis. In addition, FAs are associated with change"], "order_basis": "paper_text_order:274", "id": "assay:1"}, {"role": "data_generation", "definition_id": "ihc", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.93, "evidence": ["rts. The results of bioinformatics analysis, immunohistochemistry staining, and western blotting all revealed"], "order_basis": "paper_text_order:1096", "id": "assay:2"}, {"role": "data_generation", "definition_id": "western_blot", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.93, "evidence": ["analysis, immunohistochemistry staining, and western blotting all revealed that the expression of COL1A2 w"], "order_basis": "paper_text_order:1131", "id": "assay:3"}, {"role": "data_generation", "definition_id": "transfection", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["and anti–CTLA-4 immunotherapy. Cell culture, transfection, and activation Normal human astrocytes (NHA", "were added to the culture medium. The COL1A2 knockdown and overexpression plasmids were constructed"], "order_basis": "paper_text_order:5837", "id": "assay:4"}, {"role": "data_generation", "definition_id": "cell_culture", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["ed with RPMI-1640 medium (Gibco, USA), other cell lines were cultured with MEM (Gibco, USA) or DMEM (Gibco, USA).", "source Center. Except that Jurkat cells were cultured with RPMI-1640 medium (Gibco, USA), other cell li", "0 medium (Gibco, USA), other cell lines were cultured with MEM (Gibco, USA) or DMEM (Gibco, USA). 50 IU", "s proliferated. Jurkat and GBM cells were co-cultured (Jurkat: GBM cells = 1:1) in 96-well plates"], "order_basis": "paper_text_order:6122", "id": "assay:5"}, {"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 screened 175 FARGs with prognostic significance from 192 FARGs using uni-Cox regression analysis. 175 FARGs were further screened by lasso algorithm and multi-Cox regression analysis, and nine FARGs were finally obtained to construct a scoring system: risk score = sum (gene expression × coefficient)."], "order_basis": "consumes_earlier_output", "id": "assay:6"}]},"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":"2026-11-04T02:28:47+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}}}