{"id":"W4405312934","doi":"10.1093/jnci/djae335","title":"Evaluating the performance of the Breast and Ovarian Analysis of Disease Incidence Algorithm model in predicting 10-year breast cancer risks in UK Biobank","year":2024,"lang":"en","type":"article","venue":"JNCI Journal of the National Cancer Institute","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Centre hospitalier de l'Université Laval; Centre hospitalier universitaire de Québec","funders":"Health Data Research UK; Engineering and Physical Sciences Research Council; Medical Research Council; NIHR Cambridge Biomedical Research Centre; Economic and Social Research Council; European Commission; Department of Health and Social Care; Cancer Research UK; Public Health Agency; Government of Canada; Chief Scientist Office, Scottish Government Health and Social Care Directorate; Fondation du cancer du sein du Québec; Canadian Institutes of Health Research; Gray Foundation; Scottish Government; British Heart Foundation; Wellcome Trust; Health and Social Care Research and Development Division; National Institute for Health and Care Research; Genome Canada","keywords":"Biobank; Breast cancer; Cohort; Epidemiology; Environmental health; Prospective cohort study; Medicine; Cancer; Internal medicine; Bioinformatics; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.02479266,0.0008101747,0.0007860048,0.001103937,0.0002904191,0.001441082,0.0007730938,0.0009840399,0.001003057],"category_scores_gemma":[0.06305051,0.000364721,0.0009359604,0.0007351955,0.0004193426,0.0007330771,0.00131136,0.0008070266,0.0003293527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001466231,"about_ca_system_score_gemma":0.001025381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0131066,"about_ca_topic_score_gemma":0.005332661,"domain_scores_codex":[0.9917264,0.006335421,0.000422392,0.0007934661,0.0004815266,0.0002408148],"domain_scores_gemma":[0.9480836,0.04429666,0.002439668,0.002225843,0.00225576,0.0006984788],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004298538,0.0003545607,0.8602559,0.0001117941,0.001060115,0.00009406757,0.0002492789,0.1030277,0.0003109755,0.0003938342,0.001412641,0.0284307],"study_design_scores_gemma":[0.0003254789,0.001416214,0.2097212,0.00009048657,0.0002963225,0.0002215692,0.0001199686,0.7857069,0.0006245342,0.0007029589,0.0007254774,0.00004891637],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931982,0.000348841,0.004872608,0.0002114486,0.00002730289,0.00007446673,0.0006053614,0.00008411519,0.0005776843],"genre_scores_gemma":[0.9956098,0.00006920547,0.00305122,0.0000400167,0.000008381087,0.0000459927,0.001025286,0.00001259521,0.0001374767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02479266,"threshold_uncertainty_score":0.1311176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04979489571590852,"score_gpt":0.3827754937528475,"score_spread":0.332980598036939,"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."}}