{"data":{"sci_version": "1.0", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:39945992", "kind": "science-record", "revision": 2, "content_hash": "sha256:5d8a3921624af0ec5168966b66681a71197bf0d9f18136f9e460d7b8f6e77163", "created_at": "2026-11-01T10:25:49Z", "updated_at": "2026-11-01T14:01:34Z", "generator": {"name": "corpus-assay-engine", "converter": "sep_to_sci_v1", "source_package_schema": "urn:bntrg:sep:1.0.0"}, "paper": {"state": "partial", "title": "Identification and characterization of cuproptosis related gene subtypes through multi-omics bioinformatics analysis in breast cancer.", "doi": "10.1007/s12672-025-01952-2", "pmid": "39945992", "authors": null, "journal": "Discover oncology", "year": 2025, "abstract": null, "claims": [{"id": "claim-1", "statement": "the headline numerical result the paper states for its main finding", "kind": "qualitative", "state": "blocked", "target": {"value": null, "unit": null, "tolerance": null, "source": null}, "evidence": []}], "gaps": ["abstract", "authors"]}, "experiment": {"state": "partial", "objective": "the headline numerical result the paper states for its main finding", "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate and its interval from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The number a replication must land on, and the sentence it came from.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:39945992"], "outputs": ["the published estimate, its unit and its interval"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data behind the published result", "kind": "data-preparation", "state": "blocked", "blocked_on": "data:not_downloaded", "description": "The published result cannot be recomputed without the data the paper analysed.", "duration_hours": null, "parameters": {}, "inputs": [], "outputs": ["the source data with its provenance"], "instruments": [], "reagents": []}, {"id": "run_analysis", "order": 3, "name": "Run the analysis programme", "kind": "analysis", "state": "blocked", "blocked_on": "no owned computational capability is bound to this experiment", "description": "Re-run the paper's analysis on the source data and produce the registered result. | SEP input not carried into the asset list: materials:the source data behind the published result in pmid:39945992", "duration_hours": null, "parameters": {}, "inputs": [], "outputs": ["the registered result"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": ["step:obtain_source_data blocked on data:not_downloaded", "step:run_analysis blocked on no owned computational capability is bound to this experiment", "step:run_analysis input 'materials:the source data behind the published result in pmid:39945992' does not resolve to a declared asset"]}, "data": {"state": "partial", "assets": [{"id": "source:pmid:39945992", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1007/s12672-025-01952-2", "sha256": "sha256:20116a68f0e2b29729532877db32051123860bbb355df8747208e461cd32f3dd", "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.1007/s12672-025-01952-2", "version": null, "note": "Source read by the package builder: full_text.", "structure": {"access_state": "full_text"}}, {"id": "asset:table:pmid:39945992:1", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:40b0c03b55fe324b969b7638d50dc3dd3a904479f9ed423b4b5e12763c84022e", "bytes": 1120, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[13]/table-wrap[1]#Tab1", "version": null, "note": "Official symbol and full name of 19 cuproptosis related genes", "structure": {"pmcid": "PMC11825418", "section_index": 13, "section_title": "The expression levels of CRGs in TCGA-BRCA and GEO cohort", "row_count": 20, "column_count": 2}, "table": {"label": "Table 1", "caption": "Official symbol and full name of 19 cuproptosis related genes", "rows": [["Official symbol of cuproptosis related gene", "Official full name"], ["NFE2L2", "NFE2 like BZIP transcription factor 2"], ["NLRP3", "NLR family pyrin domain containing 3"], ["ATP7B", "ATPase copper transporting beta"], ["ATP7A", "ATPase copper transporting alpha"], ["SLC31A1", "Solute carrier family 31 member 1"], ["FDX1", "Ferredoxin 1"], ["LIAS", "Lipoic acid synthetase"], ["LIPT1", "Lipoyltransferase 1"], ["LIPT2", "Lipoyl(Octanoyl) transferase 2"], ["DLD", "Dihydrolipoamide dehydrogenase"], ["DLAT", "Dihydrolipoamide S-Acetyltransferase"], ["PDHA1", "Pyruvate dehydrogenase E1 subunit alpha 1"], ["PDHB", "Pyruvate dehydrogenase E1 subunit beta"], ["MTF1", "Metal regulatory transcription factor 1"], ["GLS", "Glutaminase"], ["CDKN2A", "Cyclin dependent kinase inhibitor 2A"], ["DBT", "Dihydrolipoamide branched chain transacylase E2"], ["GCSH", "Glycine cleavage system protein H"], ["DLST", "Dihydrolipoamide S-Succinyltransferase"]], "row_count": 20, "column_count": 2, "numeric_cells": 10, "header_rows": 1, "locator": "section[13]/table-wrap[1]#Tab1"}}], "gaps": ["asset:source:pmid:39945992 not verified"]}, "analysis": {"state": "absent", "methods": [], "targets": [], "gaps": ["method", "targets"]}, "capability": {"state": "absent", "requirements": [], "gaps": ["capability"]}, "readiness": {"state": "partial", "tier": null, "blocking_axis": null, "blocked_on": null, "axes": {}, "can_run": {"dsl_operations": [], "assets": ["source:pmid:39945992", "asset:table:pmid:39945992:1"], "steps": ["read_published_estimate"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": ["xml"], "capabilities": [], "data_gaps": ["source:pmid:39945992"]}, "gaps": ["corpus_record_absent"]}, "review": {"state": "partial", "machine_critique": {"status": "blocked", "providers": [{"provider": "minimax", "model": "MiniMax-M3.1-Flash", "prompt_version": "full-text-reading-v1", "prompt_hash": "26037db58c37d316b701c33e54a8e1b0e424a232dcbd1e4cc31bf967ee5844cf", "source_hash": "20116a68f0e2b29729532877db32051123860bbb355df8747208e461cd32f3dd", "raw_response_sha256": "sha256:34fa5c36348be1fc50809c609239e0fa9d75cafbbdf18582f38046b809c7b866", "raw_response_chars": 4286}, {"provider": "minimax_alt", "model": "MiniMax-M3", "prompt_version": "full-text-reading-v1", "prompt_hash": "17103cb444d7ee60886cd0af3bf9060b62dcce553c6036027f8aa84689930fcd", "source_hash": "20116a68f0e2b29729532877db32051123860bbb355df8747208e461cd32f3dd", "raw_response_sha256": "sha256:04c3b23e1935fce84dadf27ab26b54643cbe41651d9ffd729070000c3a5baa04", "raw_response_chars": 82330}], "target_providers": [{"provider": "minimax", "model": "MiniMax-M3.1-Flash", "prompt_version": "replication-target-v2", "prompt_hash": "2b9b76402af02ca6b8ce19338a156ca49fbafc8dc3f6193db9bd028059577504", "source_hash": "20116a68f0e2b29729532877db32051123860bbb355df8747208e461cd32f3dd", "raw_response": "{\"parent_value\":2,\"unit\":\"distinct clusters of CRGs\",\"evidence\":\"Through this study appraisal, two distinct clusters of CRGs were identified in breast cancer.\",\"target_result\":\"Two distinct clusters of cuproptosis-related genes were identified in breast cancer.\",\"number_stated\":true}", "reading": {"parent_value": 2, "unit": "distinct clusters of CRGs", "evidence": "Through this study appraisal, two distinct clusters of CRGs were identified in breast cancer.", "target_result": "Two distinct clusters of cuproptosis-related genes were identified in breast cancer.", "number_stated": true, "source_locator": "chars 8926-9019 of source sha256 20116a68f0e2b29729532877db32051123860bbb355df8747208e461cd32f3dd"}, "recorded_at": "2026-10-31T15:24:50.125574+00:00"}, {"provider": "minimax_alt", "model": "MiniMax-M3", "prompt_version": "replication-target-v2", "prompt_hash": "cbee315a1c5a40aa6547dc384994cabd2bb9ea22e8508ca6bdf4e6c7b6b3717d", "source_hash": "20116a68f0e2b29729532877db32051123860bbb355df8747208e461cd32f3dd", "raw_response": "<think>We need answer JSON object only. Need identify single numerical result headline main finding stated. Registered target vague \"headline numerical result the paper states for its main finding\". Paper title/abstract says identified two subtypes, CRGcluster S2 poorer prognosis. Main headline numerical result likely 2 CRGclusters. Need report headline number only value paper states for registered target, unit paper prints. Evidence exact contiguous quote containing number; attribution clause whole. Candidate: \"We performed consistent clustering analysis to divide the tumor cases of the merged cohort separated into two separate clusters, namely CRGcluster S1 and CRGcluster S2 (Fig. 4A–C).\" This states two clusters. Or abstract: \"We identified two subtypes, where CRGcluster S2 exhibits a poorer prognosis compared to CRGcluster S1.\" Exact quote, clear. Number word \"two\", parent_value number 2. Unit? Paper prints \"two subtypes\" so unit \"subtypes\" perhaps. User says headline number only, value paper states, unit must unit paper prints. Could use \"subtypes\". Evidence exact contiguous quote. target_result perhaps \"Two breast cancer subtypes/CRGclusters were identified.\" But they request headline number only maybe target_result wording perhaps number only? Schema includes target_result. Need set e.g. \"Two subtypes\" or \"2 subtypes\". Parent value 2, unit \"subtypes\", evidence quote. number_stated true.\n\nNeed distinguish another main headline numerical result perhaps 1070 DEGs? Registered target \"the headline numerical result the paper states for its main finding\" likely ask extraction benchmark where target maybe main finding numerical result. Abstract headline: \"We identified two subtypes\". So yes.\n\nNeed exact quote from source. \"We identified two subtypes, where CRGcluster S2 exhibits a poorer prognosis compared to CRGcluster S1.\" This is contiguous and target number. Unit printed \"subtypes\". target_result likely \"Two subtypes\" perhaps \"2 subtypes.\" They say Report headline number only. JSON necessarily fields. Could target_result be \"2 subtypes\". evidence exact. Ensure no extra.</think>\n\n{\"parent_value\":2,\"unit\":\"subtypes\",\"evidence\":\"We identified two subtypes, where CRGcluster S2 exhibits a poorer prognosis compared to CRGcluster S1.\",\"target_result\":\"2 subtypes\",\"number_stated\":true}", "reading": {"parent_value": 2, "unit": "subtypes", "evidence": "We identified two subtypes, where CRGcluster S2 exhibits a poorer prognosis compared to CRGcluster S1.", "target_result": "2 subtypes", "number_stated": true, "source_locator": "chars 1013-1115 of source sha256 20116a68f0e2b29729532877db32051123860bbb355df8747208e461cd32f3dd"}, "recorded_at": "2026-10-31T15:24:52.998800+00:00"}], "agreement": false, "disagreements": {"target_result": {"minimax": "Two breast cancer CRG subtypes were identified: CRGcluster S1 and CRGcluster S2, with CRGcluster S2 exhibiting a poorer prognosis than CRGcluster S1.", "minimax_alt": "Two breast cancer subtypes were identified: CRGcluster S1 and CRGcluster S2.", "decisive": false}, "analysis_methods": {"minimax": ["Consensus cluster analysis using the ConsensusClusterPlus package", "Principal component analysis", "Kaplan–Meier survival analysis with log-rank testing", "Univariate Cox survival analysis", "Wilcoxon difference analysis", "Spearman correlation analysis", "Functional enrichment analysis of differentially expressed genes", "Tumor mutation burden analysis using maftools", "Microsatellite instability analysis using cBioPortalData", "ssGSEA immune-cell infiltration analysis", "CIBERSORT immune-cell infiltration analysis", "ESTIMATE immune and stromal score analysis", "Drug-sensitivity analysis"], "minimax_alt": ["Consensus cluster analysis using the ConsensusClusterPlus package (consensus matrix k = 2)", "Principal component analysis (PCA)", "Differential survival analysis using Kaplan–Meier survival analysis with log-rank testing", "Univariate Cox survival analysis", "Wilcoxon difference testing", "Spearman correlation analysis", "GO and KEGG functional enrichment analysis using clusterProfiler and org.Hs.eg.db", "Tumor mutation burden analysis using maftools", "Microsatellite instability scoring using cBioPortalData", "Cancer cell stemness index analysis based on DNA methylation patterns", "Immune infiltration analysis using ssGSEA", "Immune infiltration analysis using CIBERSORT", "ESTIMATE algorithm for stromal, immune, and ESTIMATE scores", "Drug sensitivity testing (specific statistical procedure not stated)"], "decisive": false}, "statistical_method": {"minimax": "Consensus cluster analysis", "minimax_alt": "Consensus cluster analysis (ConsensusClusterPlus; consensus matrix k = 2)", "decisive": true}, "unit": {"minimax": "distinct clusters of CRGs", "minimax_alt": "subtypes", "decisive": true}}, "agreement_basis": {"policy": "decisive_fields", "decisive_fields": ["work_type", "number_stated", "parent_value", "unit"]}, "blinded": true}, "human_critique": {"status": "not_run", "reviewer": null, "signed_at": null, "conflict_checked": false, "commentary": null}, "stages": [{"key": "target_materials", "status": "pending", "reason": null, "evidence": null}, {"key": "independent_readings", "status": "blocked", "reason": "The independent readings are incomplete or disagree; the source evidence must resolve the difference.", "evidence": {"provider_errors": []}}, {"key": "source_resolution", "status": "pending", "reason": null, "evidence": null}, {"key": "protocol_reconstruction", "status": "pending", "reason": null, "evidence": null}, {"key": "control_execution", "status": "pending", "reason": null, "evidence": null}, {"key": "control_comparison", "status": "pending", "reason": null, "evidence": null}, {"key": "publication", "status": "pending", "reason": null, "evidence": null}], "gaps": ["review.human_critique", "review.machine_critique.blocked"]}, "execution": {"state": "absent", "status": "not_run", "mode": null, "runs": [], "gaps": ["execution.not_run"]}, "provenance": {"entities": [{"id": "package:0b4744466414993ff1f240dfad42388b1e8a7d62945e0a9cc7cbf149a3b150c5", "type": "sep_package", "label": "SEP v1 package for pmid:39945992"}], "activities": [{"id": "activity:conversion:pmid:39945992", "type": "conversion", "used": ["package:0b4744466414993ff1f240dfad42388b1e8a7d62945e0a9cc7cbf149a3b150c5"], "agent": "agent:corpus-assay-engine"}], "agents": [{"id": "agent:minimax", "type": "model", "label": "minimax"}, {"id": "agent:minimax_alt", "type": "model", "label": "minimax_alt"}, {"id": "agent:corpus-assay-engine", "type": "software", "label": "Corpus assay engine"}], "source_run_id": "run-20261023T122449232913", "dsl_catalogue_fingerprint": "343fb30756ba6ec3", "capability_table_fingerprint": "2cb3e42f047d2ecf", "snapshot_id": "ba34b49490d9bfaf"}, "lineage": {"parent_id": "pmid:39945992", "parent_hash": "sha256:a673638472c8f09099f590f1d1ffc4e30bd430b5c25b6f00607d323a8c1f6da8", "fork_of": null, "generation": 2}, "gaps": ["abstract", "asset:source:pmid:39945992 not verified", "authors", "capability", "corpus_record_absent", "execution.not_run", "method", "review.human_critique", "review.machine_critique.blocked", "step:obtain_source_data blocked on data:not_downloaded", "step:run_analysis blocked on no owned computational capability is bound to this experiment", "step:run_analysis input 'materials:the source data behind the published result in pmid:39945992' does not resolve to a declared asset", "targets"]},"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":"2026-11-04T01:28:17+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}}}