{"id":"W2161001342","doi":"10.1503/cmaj.1040127","title":"Physicians, genetics and life insurance","year":2004,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Canadian Institutes of Health Research; Ontario Genomics; Ontario Genomics Institute; Genome Canada","keywords":"Life insurance; Genetic testing; Test (biology); Health insurance; Medicine; Genetic discrimination; Family medicine; Computer science; Actuarial science; Biology; Business; Internal medicine; Health care; Political science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.002056588,0.0001141711,0.0002554418,0.0009790447,0.0025723,0.002500055,0.0004156998,0.004819371,0.01609069],"category_scores_gemma":[0.01483285,0.0002223182,0.0001745834,0.0007918212,0.00299449,0.001487029,0.001122313,0.00280771,0.0009334864],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005438772,"about_ca_system_score_gemma":0.007876375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09922484,"about_ca_topic_score_gemma":0.1593107,"domain_scores_codex":[0.9982988,0.000600129,0.00006657362,0.0001293507,0.0005110746,0.0003940956],"domain_scores_gemma":[0.9890032,0.003106557,0.001222254,0.0001414271,0.0009537986,0.005572645],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002774071,0.0006400173,0.4296979,0.0002128517,0.0001111773,0.003795132,0.007006874,0.0004849712,0.0005819427,0.09852216,0.3070917,0.1515778],"study_design_scores_gemma":[0.0002132672,0.0002049609,0.4900815,0.000785491,0.00008447981,0.004528682,0.01120056,0.0005399028,0.0001621082,0.07273231,0.419378,0.00008881663],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.06525942,0.02509239,0.0003621459,0.8353636,0.001631828,0.00001889185,0.0001994866,0.00002340779,0.07204876],"genre_scores_gemma":[0.8366779,0.0169567,0.0007807226,0.117704,0.003166369,0.00002658841,0.000128065,0.00002275805,0.02453686],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9945613,"threshold_uncertainty_score":0.1972946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005032698383813375,"score_gpt":0.231557826258839,"score_spread":0.2265251278750256,"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."}}