{"id":"W4205154769","doi":"10.22215/etd/2021-14731","title":"Genetic Discrimination and Beyond – A Proposal for Ethical Life Insurance","year":2021,"lang":"en","type":"dissertation","venue":"","topic":"Legal Systems and Judicial Processes","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Disadvantaged; Exceptionalism; Genetic discrimination; Life insurance; Actuarial science; Genetic testing; Insurance policy; Test (biology); Luck; Law and economics; Legislation; Business; Law; Economics; Political science; Medicine","routes":{"ca_aff":true,"ca_fund":false,"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":[0.01080507,0.0003404071,0.0004255256,0.0005684042,0.004444859,0.005896285,0.001373978,0.01463534,0.006666553],"category_scores_gemma":[0.01552256,0.0002248083,0.0005163763,0.0003824877,0.01925047,0.006202229,0.003798537,0.01175403,0.001400282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003108182,"about_ca_system_score_gemma":0.006380616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001354791,"about_ca_topic_score_gemma":0.002228113,"domain_scores_codex":[0.9950736,0.002843274,0.0001041925,0.000414225,0.0008516823,0.0007130174],"domain_scores_gemma":[0.9959275,0.002213042,0.0002297287,0.0003194861,0.0005192556,0.0007909295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000004933048,0.00001440618,0.00006067814,0.000005805459,0.00000127371,0.00006163708,0.0005165606,0.0001039537,0.00005198259,0.9800799,0.01667648,0.002422388],"study_design_scores_gemma":[0.00001213043,0.00001756498,0.0001255058,0.00008680933,0.000002259188,0.00007929591,0.001091277,0.0003892797,0.00009987347,0.8866463,0.1114349,0.00001485107],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.007647735,0.0033033,0.008378717,0.8071948,0.003656925,0.00005789925,0.00002847476,0.00002078971,0.1697114],"genre_scores_gemma":[0.5081286,0.005017754,0.01608267,0.2559188,0.007770379,0.0003615083,0.00006216513,0.00007887315,0.2065792],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01463534,"threshold_uncertainty_score":0.05714333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01852720715835205,"score_gpt":0.3309710087454238,"score_spread":0.3124438015870718,"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."}}