{"id":"W4408108320","doi":"10.1101/2025.02.27.25323002","title":"Overlap of high-risk individuals across family history, genetic & non-genetic breast cancer risk models: Analysis of 180,398 women from European & Asian ancestries","year":2025,"lang":"en","type":"preprint","venue":"medRxiv","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Queen's University; Lunenfeld-Tanenbaum Research Institute; Centre hospitalier universitaire de Québec; BC Cancer Agency; University of Toronto","funders":"","keywords":"Breast cancer; Family history; Medicine; Oncology; Demography; Receiver operating characteristic; Internal medicine; Absolute risk reduction; Cancer; Confidence interval","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01019137,0.0007476317,0.000984263,0.001217008,0.0006454481,0.001245621,0.0008243604,0.0007413357,0.001598521],"category_scores_gemma":[0.01165916,0.0003299042,0.002167766,0.0009236833,0.000499887,0.0005446082,0.001382705,0.0007641758,0.0003374612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004803929,"about_ca_system_score_gemma":0.000626119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006713507,"about_ca_topic_score_gemma":0.004180165,"domain_scores_codex":[0.9959682,0.002467535,0.0002566406,0.0008294377,0.0002658236,0.0002122761],"domain_scores_gemma":[0.9894332,0.006788115,0.001340895,0.001306604,0.0004442303,0.0006869903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005558439,0.00005917202,0.9947894,0.000007817291,0.000596958,0.00006264096,0.00008956053,0.001602528,0.0001033299,0.00004360484,0.0001074157,0.001981814],"study_design_scores_gemma":[0.00009000069,0.000730758,0.8993147,0.00003421646,0.000669546,0.0008114115,0.0009204568,0.09563085,0.0003579569,0.0008328877,0.0005713603,0.00003578738],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984965,0.0001229899,0.0009335438,0.00004953396,0.000006337916,0.00001177352,0.0002155487,0.00001302699,0.0001507145],"genre_scores_gemma":[0.9990762,0.00002487345,0.0003663761,0.00001340378,0.000005339004,0.000008735001,0.0004219105,0.00000413596,0.00007902181],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01019137,"threshold_uncertainty_score":0.05389774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02124147536268254,"score_gpt":0.2785499768655746,"score_spread":0.257308501502892,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}