{"id":"W2165090564","doi":"10.1503/cmaj.1040969","title":"Genetics and insurance","year":2004,"lang":"en","type":"letter","venue":"Canadian Medical Association Journal","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Insurability; Context (archaeology); Task force; Human genetics; Task (project management); Computer science; Data science; Medicine; Actuarial science; Political science; Genetics; Insurance law; Insurance policy; History; Biology; Business; General insurance; Management; Public administration; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.003957334,0.0006200372,0.001084384,0.0008534201,0.008254995,0.003211225,0.002022957,0.04707435,0.008319562],"category_scores_gemma":[0.02251855,0.0004889528,0.0009186096,0.001019039,0.008521969,0.003573766,0.001932229,0.04306731,0.002229023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02232142,"about_ca_system_score_gemma":0.02162782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2616768,"about_ca_topic_score_gemma":0.4362414,"domain_scores_codex":[0.9954168,0.001008709,0.0002783845,0.0004751381,0.001945061,0.0008760497],"domain_scores_gemma":[0.9922637,0.003444714,0.0004109215,0.0001859293,0.001633806,0.002060966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000181548,0.000008959225,0.0004408437,0.00002998283,0.000007187449,0.0009247767,0.0002070779,0.00003723077,0.00005460979,0.009881769,0.9824676,0.005921741],"study_design_scores_gemma":[0.0000529156,0.00003011744,0.001523728,0.0004950414,0.00002015418,0.002639863,0.0008255527,0.0001407463,0.000060794,0.01534164,0.9788249,0.00004456038],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0001256051,0.002477254,0.0000177495,0.9912936,0.004039454,0.00000175542,0.00001029479,0.000003282567,0.002030931],"genre_scores_gemma":[0.005389939,0.002358214,0.0000989017,0.97384,0.0122293,0.000006786562,0.00001425094,0.000008417032,0.006054135],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2616768,"threshold_uncertainty_score":0.5203074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005702443289306859,"score_gpt":0.2301600406663889,"score_spread":0.224457597377082,"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."}}