{"id":"W6936855783","doi":"10.58079/ovnb","title":"Fondation SCOR, Fairness of predictive models: an application to insurance markets","year":2023,"lang":"en","type":"article","venue":"Industrias Culturais (Universidade de Coimbra)","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Insurance policy; General insurance; Term (time); Life insurance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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":[0.01696471,0.001273565,0.001633728,0.001859874,0.003051644,0.003674287,0.001832051,0.003675466,0.007611026],"category_scores_gemma":[0.06550442,0.0005707956,0.001694314,0.002501506,0.003982013,0.005642463,0.002291304,0.006186062,0.0009220172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005241071,"about_ca_system_score_gemma":0.00405146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03152241,"about_ca_topic_score_gemma":0.0187814,"domain_scores_codex":[0.9926871,0.004616716,0.0002499783,0.0006641044,0.001517242,0.0002649777],"domain_scores_gemma":[0.955256,0.03629412,0.001117462,0.001843385,0.004433306,0.001055766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002483369,0.00006734978,0.001872419,0.0001062005,0.000130509,0.0002227163,0.000271164,0.0524558,0.0002671345,0.8417656,0.03507438,0.06751841],"study_design_scores_gemma":[0.00007845442,0.00004215613,0.0004794622,0.00005682349,0.00003302231,0.00007319852,0.00004532962,0.2700143,0.0004206295,0.7127135,0.01598572,0.00005724213],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02077067,0.01313672,0.8353376,0.08028699,0.004309296,0.0001141633,0.0003618243,0.001158728,0.04452402],"genre_scores_gemma":[0.5934656,0.0074963,0.3288633,0.008775018,0.005870887,0.0003801917,0.0004312083,0.000932103,0.05378535],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03152241,"threshold_uncertainty_score":0.089719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03823837799204049,"score_gpt":0.2345261712392742,"score_spread":0.1962877932472337,"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."}}