{"id":"W6962833968","doi":"10.17863/cam.114513","title":"Evaluating the performance of the BOADICEA model in predicting 10-year breast cancer risks in UK Biobank.","year":2024,"lang":"en","type":"article","venue":"Apollo (University of Cambridge)","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"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; National Institute for Health and Care Research; Genome Canada","keywords":"Breast cancer; Risk assessment; Population; Relative risk; Incidence (geometry); Epidemiology; Cancer; Risk factor; Mammography; Cancer incidence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02292085,0.001181696,0.0009356127,0.001583978,0.0004065113,0.00166445,0.001049781,0.00116007,0.001566631],"category_scores_gemma":[0.0566838,0.0005229237,0.001320576,0.0009386368,0.0004760839,0.0009385415,0.001773484,0.001246855,0.0006212483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001918537,"about_ca_system_score_gemma":0.001229786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02984901,"about_ca_topic_score_gemma":0.01264838,"domain_scores_codex":[0.9923232,0.005835038,0.0002884699,0.0008469126,0.0004778861,0.0002283805],"domain_scores_gemma":[0.9534031,0.03958672,0.002309944,0.001814524,0.002084147,0.0008015296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00399575,0.0003577369,0.835376,0.0002247148,0.001766721,0.0001516321,0.000407244,0.117561,0.0002860764,0.000615434,0.003411549,0.03584613],"study_design_scores_gemma":[0.0002885532,0.001434244,0.2039383,0.0001523431,0.0004069556,0.00032961,0.000237617,0.7895955,0.0004355006,0.001547921,0.001558628,0.0000748609],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875206,0.00106924,0.007729408,0.0005233956,0.00006897949,0.0001006866,0.001558844,0.0002276131,0.001201184],"genre_scores_gemma":[0.9940376,0.0001275965,0.003653926,0.00007352248,0.00001505411,0.00005912719,0.001713754,0.00002511935,0.0002943099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02984901,"threshold_uncertainty_score":0.1212186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02893004099277812,"score_gpt":0.298833761154188,"score_spread":0.2699037201614098,"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."}}