{"data":{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:40612863", "kind": "science-record", "revision": 2, "content_hash": "sha256:8afff661bf3f75c336375d86c2f66c4846d2aee67327168bd11523b709f80893", "created_at": "2026-11-01T20:30:42Z", "updated_at": "2026-11-01T21:35:23Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Correlation of senescence-related gene FEN1 on neuroblastoma progression and cisplatin chemotherapy sensitivity.", "doi": "10.32604/or.2025.060021", "pmid": "40612863", "authors": ["Youyang Hu", "Yishu Luo", "Tianyue Xie", "Yuehua Chen", "Jun Zhao", "Weichao Ji", "Zhiwei Yan", "Sitong Qiu", "Kexin Gao", "Haixia Zhu", "Limin Ma", "Qiyou Yin"], "journal": "Oncology research", "year": 2025, "abstract": "Objective: Neuroblastoma (NB) is frequently associated with high-risk pediatric cases that demonstrate limited response to cisplatin, contributing to a poor prognosis. Recent studies have explored the role of tumor cell senescence in increasing sensitivity to this chemotherapy agent. This study aims to identify genes related to cell senescence in children diagnosed with NB, evaluate their influence on cisplatin sensitivity, and investigate potential strategies to enhance the efficacy of chemotherapy.\nMethods: Gene expression profiles and clinical data were obtained for 498 NB patients from the GEO database (GSE49710). The study focused on identifying genes that were differentially expressed between stage IV and other stages, particularly those linked to cell senescence and cisplatin resistance. To analyze the prognostic significance of these differentially expressed genes, we employed LASSO regression and multivariate Cox proportional hazards models. Transcriptomic and proteomic analyses of 15 NB specimens revealed a significant correlation between Flap endonuclease-1 (FEN1) expression levels and both cellular senescence and sensitivity to cisplatin. We quantified FEN1 expression and cisplatin IC50 values in four different NB cell lines. The influence of FEN1 knockdown and overexpression on NB cell proliferation, invasion, and migration was evaluated using cloning assays, transwell assays, and scratch assays. Furthermore, we utilized Western blotting to analyze senescence-associated proteins p21 and proliferating cell nuclear antigen (PCNA), thereby evaluating the role of FEN1 in cellular senescence. The impact of FEN1 on cisplatin sensitivity was investigated via the CCK-8 cell counting assay. Additionally, we investigated how FEN1 inhibitors might impact NB cell proliferation and enhance the therapeutic efficacy of cisplatin treatment.\nResults: FEN1 was found to be highly expressed in stage IV NB and showed a strong association with cisplatin sensitivity, establishing it as a critical molecular marker linked to poor patient prognosis. Notably, elevated FEN1 expression correlated with reduced sensitivity to cisplatin, as evidenced by higher IC50 values. In the SH-SY5Y cell line, FEN1 knockdown led to significant reductions in cell proliferation, invasion, and migration, along with an increase in β-galactosidase staining-indicative of senescence. This knockdown also resulted in elevated levels of the p21 protein and decreased expression of PCNA, concurrently lowering cisplatin IC50 values. Conversely, FEN1 overexpression in the SK-N-SH cell line resulted in enhanced cell proliferation, invasion, and migration. This overexpression was associated with reduced β-galactosidase staining, decreased levels of p21, and increased expression of PCNA, ultimately resulting in higher cisplatin IC50 values. Importantly, FEN1 inhibitors alone significantly impeded NB cell proliferation, and their combination with cisplatin further amplified this inhibitory effect compared to cisplatin treatment alone.\nConclusions: Bioinformatics and sequencing analyses indicate that the senescence-related gene FEN1 is significantly associated with cisplatin sensitivity and adverse prognosis in pediatric NB. FEN1 plays a pivotal role in regulating NB cell proliferation, invasion, and migration, thereby facilitating cancer progression. Furthermore, it influences cisplatin sensitivity through its effects on cellular senescence. FEN1 inhibitors demonstrate potential both as monotherapies and in conjunction with cisplatin, suggesting that targeting FEN1 may be represent a valuable strategy for improving outcomes in high-risk NB patients.", "claims": [{"id": "claim-method", "statement": "The analysis employed LASSO regression and multivariate Cox models to assess the impact of gene expression on survival outcomes.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:40612863", "locator": "sections[5] \"Survival analysis and prognostic modeling\" paragraph 2", "quote": "The analysis employed LASSO regression and multivariate Cox models to assess the impact of gene expression on survival outcomes."}], "state": "complete"}, {"id": "claim-data-access", "statement": "All data generated for this manuscript have been included in this article. The publicly available data are provided in GEO databases.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:40612863", "locator": "sections[33] \"Availability of Data and Materials\" paragraph 2", "quote": "All data generated for this manuscript have been included in this article. The publicly available data are provided in GEO databases."}], "state": "complete"}, {"id": "claim-target-result", "statement": "The optimal prognostic risk model, derived from the LASSO algorithm with a λ value of 0.11, resulted in the following risk score formula: Risk Score = (−0.0504) * CNR1 + (0.0083) * RET + (0.00298) * FEN1.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:40612863", "locator": "sections[19] \"Construction of a prognostic model using LASSO regression\" paragraph 4", "quote": "The optimal prognostic risk model, derived from the LASSO algorithm with a λ value of 0.11, resulted in the following risk score formula: Risk Score = (−0.0504) * CNR1 + (0.0083) * RET + (0.00298) * FEN1."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "The optimal prognostic risk model, derived from the LASSO algorithm with a λ value of 0.11, resulted in the following risk score formula: Risk Score = (−0.0504) * CNR1 + (0.0083) * RET + (0.00298) * FEN1.", "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:40612863"], "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:GSE49710"], "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:GSE49710"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:40612863", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.32604/or.2025.060021", "sha256": "sha256:07a850ea558aa8e4e8fadd6e56b6797b64bf7fb3e9518928ba05ab918d0ecf74", "bytes": 63243, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.32604/or.2025.060021", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC12215590", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE49710", "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=GSE49710", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE49710", "version": null, "note": "All data generated for this manuscript have been included in this article. The publicly available data are provided in GEO databases.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "All data generated for this manuscript have been included in this article. 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have been included in this article. The publicly available data are provided in GEO databases.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "All data generated for this manuscript have been included in this article. The publicly available data are provided in GEO databases.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM2309282", "GSM2309283", "GSM2309284", "GSM2309285", "GSM2309286", "GSM2309287", "GSM2309288"], "sample_count": 7, "group_sizes": null, "group_sizes_basis": null, "platform": "16686", "taxon": "Homo sapiens", "title": "Changes in gene expression upon treatment of SH-SY5Y cells to cisplatin", "resolution_checked_at": "2026-11-01T20:16:08Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}], "gaps": ["asset:data:geo:GSE49710 not downloaded", "asset:data:geo:GSE49710 licence not read", "asset:data:geo:GSE86842 not downloaded", "asset:data:geo:GSE86842 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": "The analysis employed LASSO regression and multivariate Cox models to assess the impact of gene expression on survival outcomes."}}], "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": ["GSE49710", "GSE86842"], "resolved_accessions": ["GSE49710", "GSE86842"], "statements": ["All data generated for this manuscript have been included in this article. The publicly available data are provided in GEO databases."], "basis": "The paper names GSE49710, GSE86842 in GEO and the accession resolves in the repository. No dataset was downloaded and no licence was read."}}, "can_run": {"dsl_operations": ["cox_ph"], "assets": ["source:pmid:40612863", "data:geo:GSE49710"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:GSE49710"]}, "gaps": []}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-11-01T19:55:57Z", "independence": "single_reader"}, "evidence_check": {"method": "verbatim", "availability": "verbatim"}, "calls": 5, "usage": {"prompt_tokens": 17079, "completion_tokens": 1163, "cached_tokens": 264}}, "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:40612863", "type": "paper", "label": "pmid:40612863"}, {"id": "source:pmid:40612863", "type": "manuscript", "label": "PMID 40612863 full text"}, {"id": "data:geo:GSE49710", "type": "dataset", "label": "GEO GSE49710"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:40612863", "type": "paper", "label": "pmid:40612863"}, {"id": "source:pmid:40612863", "type": "manuscript", "label": "PMID 40612863 full text"}, {"id": "data:geo:GSE49710", "type": "dataset", "label": "GEO GSE49710"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-40612863", "type": "extraction", "used": ["source:pmid:40612863"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-GSE49710", "type": "accession_resolution", "used": ["data:geo:GSE49710"], "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:40612863", "parent_hash": "sha256:07a9bc4dddcf56721aa1d8b69b548b31bf9c4ef96bae570d97d1d386a6b07984", "fork_of": null, "generation": 1}, "gaps": ["asset:data:geo:GSE49710 licence not read", "asset:data:geo:GSE49710 not downloaded", "asset:data:geo:GSE86842 licence not read", "asset:data:geo:GSE86842 not downloaded", "execution.not_run", "review.human_critique", "review.independent_reader", "review.machine_critique"], "assays": [{"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": ["fferent NB cell lines. The influence of FEN1 knockdown and overexpression on NB cell proliferation,", "IC50 values. In the SH-SY5Y cell line, FEN1 knockdown led to significant reductions in cell prolif", "dase staining-indicative of senescence. This knockdown also resulted in elevated levels of the p21"], "order_basis": "paper_text_order:1348", "id": "assay:1"}, {"role": "data_generation", "definition_id": "western_blot", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["and scratch assays. Furthermore, we utilized Western blotting to analyze senescence-associated proteins p2", "Methods and Materials Western blot protocol Place the treated cell culture dish"], "order_basis": "paper_text_order:1526", "id": "assay:2"}, {"role": "data_generation", "definition_id": "apoptosis_assay", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.93, "evidence": ["splatin sensitivity was investigated via the CCK-8 cell counting assay. Additionally, we invest"], "order_basis": "paper_text_order:1765", "id": "assay:3"}, {"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": [", as evidenced by higher IC50 values. In the SH-SY5Y cell line, FEN1 knockdown led to significant", "r cell-based experiments, four NB cell lines—SH-SY5Y, IMR-32, SK-N-AS, and SK-N-SH—were cultured"], "order_basis": "paper_text_order:2268", "id": "assay:4"}, {"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": ["The analysis employed LASSO regression and multivariate Cox models to assess the impact of gene expression on survival outcomes."], "order_basis": "consumes_earlier_output", "id": "assay:5"}]},"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":"2026-11-04T02:50:55+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}}}