{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003365873,0.0001205596,0.0002328932,0.00004140878,0.000484946,0.0002208879,0.0000989956,0.0005995096,0.00006860339],"category_scores_gemma":[0.001069196,0.0001076755,0.00005540439,0.0001428842,0.00008136678,0.0001013039,0.000008960863,0.0002354538,0.000003089955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002305621,"about_ca_system_score_gemma":0.001695038,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005536033,"about_ca_topic_score_gemma":0.1034452,"domain_scores_codex":[0.9988241,0.00009745258,0.0002314148,0.0002912005,0.000364967,0.0001908837],"domain_scores_gemma":[0.9991707,0.0001274994,0.0001247468,0.00006307778,0.0003971218,0.0001168224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001259228,0.0001123325,0.002429289,0.002929964,0.0000852659,0.000006960164,0.09274437,0.000001069922,0.0003914062,0.8396604,0.01216114,0.04935188],"study_design_scores_gemma":[0.002174362,0.000583283,0.1415059,0.00157924,0.0004849839,0.000004143469,0.3639836,0.0001433233,0.0009532399,0.2596699,0.2262069,0.00271108],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4031113,0.01096687,0.001170443,0.02035535,0.004681018,0.003629644,0.00009088162,0.0002275094,0.5557669],"genre_scores_gemma":[0.9778217,0.0004135647,0.001089771,0.0004183648,0.0009013945,0.0001617193,0.0001522531,0.0000203781,0.01902084],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5799905,"threshold_uncertainty_score":0.9129146,"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."}}