{"id":"W120566640","doi":"10.29173/alr101","title":"Gender in Automobile Insurance Underwriting: Some Insureds Are More Equal Than Others","year":2013,"lang":"en","type":"article","venue":"Alberta Law Review","topic":"Multicultural Socio-Legal Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Underwriting; Business; Actuarial science; Insurance industry; Insurance policy; Variable (mathematics); Law; Political science","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":[0.004348933,0.000132504,0.0003149528,0.00118158,0.004496322,0.00294783,0.0005038814,0.001135702,0.004153119],"category_scores_gemma":[0.009248589,0.0001080632,0.0002610708,0.0009263257,0.006739832,0.00216753,0.001819818,0.001524685,0.0002418493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003474238,"about_ca_system_score_gemma":0.003470123,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1346578,"about_ca_topic_score_gemma":0.2306515,"domain_scores_codex":[0.996302,0.001364332,0.00008470225,0.0003651135,0.001018998,0.0008648128],"domain_scores_gemma":[0.9976197,0.0009099421,0.0004495884,0.00007704522,0.0003856884,0.0005580941],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002539485,0.00009776322,0.2818737,0.0001315457,0.00008744996,0.0008000361,0.09578668,0.0001730509,0.0009868493,0.4955666,0.01799977,0.1062426],"study_design_scores_gemma":[0.00004449414,0.0001795208,0.51706,0.0009635169,0.0001369983,0.001667248,0.2322913,0.0006089188,0.0009178249,0.1093454,0.1367063,0.00007839932],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7254453,0.009055671,0.001456568,0.05434478,0.0006233557,0.0000245287,0.0001448184,0.000007164668,0.2088978],"genre_scores_gemma":[0.9943843,0.00097047,0.00008165069,0.002476394,0.00007421304,0.000003542606,0.00001200466,0.00000338565,0.001994122],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8653422,"threshold_uncertainty_score":0.267748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05220047736582969,"score_gpt":0.3345803080456482,"score_spread":0.2823798306798185,"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."}}