{"id":"W4294725376","doi":"10.1016/j.gim.2022.08.001","title":"Polygenic risk scores and risk-stratified breast cancer screening: Familiarity and perspectives of health care professionals","year":2022,"lang":"en","type":"article","venue":"Genetics in Medicine","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill Genome Centre; McGill University; Ministère de la Santé et des Services Sociaux (Québec); Cancer Care Ontario; Centre Intégré de Santé et Services Sociaux de Chaudière-Appalache; Public Health Ontario; University of Toronto; Université Laval","funders":"Government of Canada; Canadian Institutes of Health Research; Fondation du cancer du sein du Québec; Genome Canada","keywords":"Health professionals; Modalities; Medicine; Health care; Stratified sampling; Family medicine; Breast cancer; Risk assessment; Professional development; Nursing; Medical education; Cancer; Pathology; Internal medicine","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":[0.01555852,0.0002079836,0.0004952418,0.001092154,0.001405012,0.003471203,0.0004796092,0.001983253,0.003009832],"category_scores_gemma":[0.05768778,0.0002459825,0.0003812225,0.0006168763,0.002167929,0.003275761,0.002458804,0.002681037,0.0002762999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001371667,"about_ca_system_score_gemma":0.002237731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007271791,"about_ca_topic_score_gemma":0.007938084,"domain_scores_codex":[0.9922935,0.005291664,0.0002901603,0.0003448786,0.001424424,0.0003553505],"domain_scores_gemma":[0.9654185,0.02582162,0.001775909,0.0006778737,0.003465177,0.002840988],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003338774,0.0005741436,0.6574516,0.0002928128,0.0002093495,0.001749146,0.05640557,0.0004419305,0.0006134638,0.008881641,0.02007274,0.2529738],"study_design_scores_gemma":[0.0002002147,0.001098331,0.6255787,0.002030561,0.0002815721,0.009778596,0.2060707,0.004799649,0.0009311147,0.05408646,0.09479219,0.0003519532],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.571023,0.04111632,0.0056661,0.3504919,0.001116678,0.00006735562,0.0002002083,0.00004240298,0.03027602],"genre_scores_gemma":[0.9676115,0.01051175,0.002306091,0.0171333,0.0008880575,0.00002870857,0.00006152916,0.0000197665,0.001439345],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01555852,"threshold_uncertainty_score":0.0822823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02093252943510141,"score_gpt":0.3333613893270839,"score_spread":0.3124288598919825,"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."}}