{"data":{"sci_version": "1.0", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:40076546", "kind": "science-record", "revision": 1, "content_hash": "sha256:035e5b5b11a322e324fe09d24c93cf6fd47a93109f9c94df6df298d2ac0fde2f", "created_at": "2026-11-01T10:25:49Z", "updated_at": "2026-11-01T10:25:49Z", "generator": {"name": "corpus-assay-engine", "converter": "sep_to_sci_v1", "source_package_schema": "urn:bntrg:sep:1.0.0"}, "paper": {"state": "partial", "title": "Unveiling Novel miRNA-mRNA Interactions and Their Prognostic Roles in Triple-Negative Breast Cancer: Insights into miR-210, miR-183, miR-21, and miR-181b.", "doi": "10.3390/ijms26051916", "pmid": "40076546", "authors": null, "journal": "International journal of molecular sciences", "year": 2025, "abstract": null, "claims": [{"id": "claim-1", "statement": "the headline numerical result the paper states for its main finding", "kind": "quantitative", "state": "complete", "target": {"value": 19.0, "unit": "validated mirna–mrna pairs", "tolerance": null, "source": "chars 918-1414 of source sha256 a48e1fd8848f457da3744ad11787733601df83841ae97c3dfebe011e3b951f0a"}, "evidence": [{"asset": "source:pmid:40076546", "locator": "chars 918-1414 of source sha256 a48e1fd8848f457da3744ad11787733601df83841ae97c3dfebe011e3b951f0a", "quote": "A prognostic model constructed based on the top 10 significant MTI pairs using random forest combination effectively classified patient survival outcomes in both TCGA and independent dataset GSE19783 cohorts, demonstrating good predictive accuracy and valuable prognostic insights for TNBC patients. Further analysis uncovered a complex network of 71 coherent feed-forward loops involving transcription factors, miRNAs, and target genes, shedding light on the mechanisms driving TNBC progression."}]}], "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:40076546"], "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:40076546", "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:40076546' does not resolve to a declared asset"]}, "data": {"state": "partial", "assets": [{"id": "source:pmid:40076546", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.3390/ijms26051916", "sha256": "sha256:a48e1fd8848f457da3744ad11787733601df83841ae97c3dfebe011e3b951f0a", "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.3390/ijms26051916", "version": null, "note": "Source read by the package builder: full_text.", "structure": {"access_state": "full_text"}}], "gaps": ["asset:source:pmid:40076546 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:40076546"], "steps": ["read_published_estimate"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": ["xml"], "capabilities": [], "data_gaps": ["source:pmid:40076546"]}, "gaps": ["corpus_record_absent"]}, "review": {"state": "partial", "machine_critique": {"status": "passed", "providers": [{"provider": "minimax", "model": "MiniMax-M3.1-Flash", "prompt_version": "full-text-reading-v1", "prompt_hash": "b83113ef75d871d89ec1ba171693d46e60d9d2270564ff210852af6a8401d585", "source_hash": "a48e1fd8848f457da3744ad11787733601df83841ae97c3dfebe011e3b951f0a", "raw_response_sha256": "sha256:70df5b849baae4a9f85a7fe1922a2fd25150f41b1612b96573c8d6ffeef9d25d", "raw_response_chars": 5332}, {"provider": "minimax_alt", "model": "MiniMax-M3", "prompt_version": "full-text-reading-v1", "prompt_hash": "ba13777d17c1b83da41f5e7f1f155ff261ad3754721484225f9d248480adcf69", "source_hash": "a48e1fd8848f457da3744ad11787733601df83841ae97c3dfebe011e3b951f0a", "raw_response_sha256": "sha256:7200daaffaff479beb0c967b2f1993afbc32b34d1e463e0709e2d9c6fe107138", "raw_response_chars": 50699}], "target_providers": [{"provider": "minimax", "model": "MiniMax-M3.1-Flash", "prompt_version": "replication-target-v2", "prompt_hash": "34f8c159ddd5f87635fecce0f1cb4f675a9de2f6142578c5662a306277d294d6", "source_hash": "a48e1fd8848f457da3744ad11787733601df83841ae97c3dfebe011e3b951f0a", "raw_response": "{\"parent_value\":19,\"unit\":\"validated miRNA–mRNA pairs\",\"evidence\":\"A prognostic model constructed based on the top 10 significant MTI pairs using random forest combination effectively classified patient survival outcomes in both TCGA and independent dataset GSE19783 cohorts, demonstrating good predictive accuracy and valuable prognostic insights for TNBC patients. Further analysis uncovered a complex network of 71 coherent feed-forward loops involving transcription factors, miRNAs, and target genes, shedding light on the mechanisms driving TNBC progression.\",\"target_result\":\"The paper states that four key miRNAs targeting eight downstream genes formed a novel regulatory network of 19 validated miRNA–mRNA pairs.\",\"number_stated\":true}", "reading": {"parent_value": 19, "unit": "validated miRNA–mRNA pairs", "evidence": "A prognostic model constructed based on the top 10 significant MTI pairs using random forest combination effectively classified patient survival outcomes in both TCGA and independent dataset GSE19783 cohorts, demonstrating good predictive accuracy and valuable prognostic insights for TNBC patients. Further analysis uncovered a complex network of 71 coherent feed-forward loops involving transcription factors, miRNAs, and target genes, shedding light on the mechanisms driving TNBC progression.", "target_result": "The paper states that four key miRNAs targeting eight downstream genes formed a novel regulatory network of 19 validated miRNA–mRNA pairs.", "number_stated": true, "source_locator": "chars 918-1414 of source sha256 a48e1fd8848f457da3744ad11787733601df83841ae97c3dfebe011e3b951f0a"}, "recorded_at": "2026-10-31T15:33:52.051323+00:00"}, {"provider": "minimax_alt", "model": "MiniMax-M3", "prompt_version": "replication-target-v2", "prompt_hash": "04b829eee5df25129c7723fee9a9f80be3497a98e44cf6ec41387c8e2a09aee1", "source_hash": "a48e1fd8848f457da3744ad11787733601df83841ae97c3dfebe011e3b951f0a", "raw_response": "<think>We need answer JSON object only. Need determine single numerical result replication registered target headline numerical result main finding. Source abstract contains several numbers: four key miRNAs, eight genes, network 19 validated pairs, model top 10 MTI, 71 loops. Headline likely 19 validated miRNA–mRNA pairs? Asked \"single numerical result ... headline numerical result paper states for its main finding\" likely number is 19, unit \"validated miRNA–mRNA pairs\". Need exact contiguous quote containing number, likely sentence: \"Using this method, we identified four key miRNAs ... targeting eight downstream target genes, forming a novel regulatory network of 19 validated miRNA–mRNA pairs.\" This clause attaches 19 directly to pairs. Parent_value 19, unit paper prints perhaps \"validated miRNA–mRNA pairs\". Evidence exact clause or sentence. They say attribution may be carried by parenthetical list, respectively, or words naming target directly; quote whole clause so reader check. We can quote full sentence. target_result likely \"19 validated miRNA–mRNA pairs\". number_stated true.\n\nNeed think if headline numerical result might be 71 coherent feed-forward loops? Title/main finding perhaps \"novel network of 19 validated...\" Main abstract's result includes 19 pairs, then 71 loops. \"headline numerical result the paper states for its main finding\" Singular likely 19. Replication target perhaps registered target vague. Need select.\n\nCould target_result explain. Unit must unit paper prints. \"validated miRNA–mRNA pairs\" isn't a conventional unit but directly printed. parent_value 19.\n\nEvidence exact contiguous quotation. Full sentence exactly, Unicode characters. Ensure valid JSON escapes only quote. Could use en dashes. No markdown.\n\nLet's inspect wording: \"Using this method, we identified four key miRNAs (miR-181b-5p, miR-21-5p, miR-210-3p, miR-183-5p) targeting eight downstream target genes, forming a novel regulatory network of 19 validated miRNA–mRNA pairs.\" Exact. Quote whole clause perhaps this sentence. It includes competing numbers but attribution clear. They request \"single numerical result\" perhaps evidence can contain other nums. Maybe quote clause only: \"forming a novel regulatory network of 19 validated miRNA–mRNA pairs.\" That's exact contiguous and contains number, with target directly. They say do not shorten it perhaps means evidence exact quote not truncated. \"When that is how text links them, quote the whole clause so a reader can check attribution.\" Whole clause \"forming...\" works. But clause references prior. Yet direct. Better full sentence, though includes four/eight. Does that violate single result? No, evidence can. \"do not shorten it\" means don't alter quote likely. Exact full sentence safest.\n\ntarget_result string could state \"The paper reports a novel regulatory network of 19 validated miRNA–mRNA pairs.\" Unit \"validated miRNA–mRNA pairs.\" Should unit include count? No.\n\nLet's ensure output only object and valid JSON.</think>\n\n{\"parent_value\":19,\"unit\":\"validated miRNA–mRNA pairs\",\"evidence\":\"Using this method, we identified four key miRNAs (miR-181b-5p, miR-21-5p, miR-210-3p, miR-183-5p) targeting eight downstream target genes, forming a novel regulatory network of 19 validated miRNA–mRNA pairs.\",\"target_result\":\"The paper reports a novel regulatory network of 19 validated miRNA–mRNA pairs.\",\"number_stated\":true}", "reading": {"parent_value": 19, "unit": "validated miRNA–mRNA pairs", "evidence": "Using this method, we identified four key miRNAs (miR-181b-5p, miR-21-5p, miR-210-3p, miR-183-5p) targeting eight downstream target genes, forming a novel regulatory network of 19 validated miRNA–mRNA pairs.", "target_result": "The paper reports a novel regulatory network of 19 validated miRNA–mRNA pairs.", "number_stated": true, "source_locator": "chars 710-917 of source sha256 a48e1fd8848f457da3744ad11787733601df83841ae97c3dfebe011e3b951f0a"}, "recorded_at": "2026-10-31T15:33:56.935900+00:00"}], "agreement": true, "disagreements": {"target_result": {"minimax": "A prognostic model based on the top 10 significant miRNA–target interaction pairs, using random forest combination, classified patient survival outcomes in the TCGA and GSE19783 cohorts.", "minimax_alt": "The main finding was a network of 19 validated miRNA–mRNA pairs involving four key miRNAs targeting eight downstream target genes; an associated prognostic model was based on the top 10 significant MTI pairs using random forest combination.", "decisive": false}, "physical_methods": {"minimax": ["miRNA inhibition assay", "quantitative real-time PCR (qRT-PCR)"], "minimax_alt": ["miRNA inhibition in MDA-MB-231 cells", "quantitative real-time PCR (qRT-PCR)"], "decisive": false}, "analysis_methods": {"minimax": ["miRNA–target interaction regulatory correlation inference", "random forest combination", "DESeq2 differential expression analysis", "Benjamini–Hochberg adjustment", "Gene Ontology enrichment analysis", "KEGG pathway analysis", "survival analysis", "MaxStat optimal-cutoff analysis"], "minimax_alt": ["DESeq2 differential-expression analysis", "miRNA–mRNA regulatory correlation inference", "random forest combination", "Gene Ontology (GO) enrichment analysis", "KEGG pathway analysis", "clusterProfiler", "survminer survival analysis", "MaxStat optimal-cutoff analysis", "Benjamini–Hochberg multiple-testing adjustment"], "decisive": false}}, "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": "passed", "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.passed"]}, "execution": {"state": "absent", "status": "not_run", "mode": null, "runs": [], "gaps": ["execution.not_run"]}, "provenance": {"entities": [{"id": "package:c722285afab9db2107a2fbca2a6b281f47e0e40f6c708bd9e713027fd51ca8b6", "type": "sep_package", "label": "SEP v1 package for pmid:40076546"}], "activities": [{"id": "activity:conversion:pmid:40076546", "type": "conversion", "used": ["package:c722285afab9db2107a2fbca2a6b281f47e0e40f6c708bd9e713027fd51ca8b6"], "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": "a2a6ac90-a5b8-49a7-9a65-2ed63956041e", "parent_hash": "c722285afab9db2107a2fbca2a6b281f47e0e40f6c708bd9e713027fd51ca8b6", "fork_of": null, "generation": 1}, "gaps": ["abstract", "asset:source:pmid:40076546 not verified", "authors", "capability", "corpus_record_absent", "execution.not_run", "method", "review.human_critique", "review.machine_critique.passed", "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:40076546' 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":"2026-11-04T03:11:45+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}}}