{"id":"W2193970400","doi":"","title":"Inferring Risk Perceptions and Preferences Using Choice from Insurance Menus: Theory and Evidence","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Perception; Actuarial science; Risk perception; Psychology; Economics; Business","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":[0.002901471,0.000144279,0.0002556588,0.0001390539,0.0003016727,0.0001463845,0.0001699984,0.00006762104,0.00001505311],"category_scores_gemma":[0.0005146972,0.0001482454,0.00004280316,0.00013498,0.00008209451,0.0007436874,0.00007524815,0.0007909026,0.00002868763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003386515,"about_ca_system_score_gemma":0.0001916118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00208786,"about_ca_topic_score_gemma":0.001356556,"domain_scores_codex":[0.9983993,0.00007352096,0.0003705302,0.0002941988,0.00005992259,0.0008025822],"domain_scores_gemma":[0.999251,0.0001204913,0.0003421447,0.000149713,0.00004318873,0.00009343272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004281656,0.00001896955,0.8184687,0.000006141652,0.00007104348,8.478569e-7,0.001085307,0.0001011336,0.00001095645,0.1628937,0.000008022892,0.01729234],"study_design_scores_gemma":[0.0003812304,0.00009936737,0.3839725,0.00005541592,0.00001677525,0.00001466799,0.001248059,0.0003895572,0.000001951322,0.6130698,0.0005864962,0.0001641035],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9255131,0.05587912,0.01765623,0.0000782222,0.0001874693,0.00009726254,0.00002222549,0.00001461013,0.000551745],"genre_scores_gemma":[0.9492928,0.04997054,0.0002974926,0.00005563679,0.0002345259,0.000004904378,9.035493e-7,0.00001392381,0.0001292707],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4501762,"threshold_uncertainty_score":0.6045271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04672314270074851,"score_gpt":0.2608152846423205,"score_spread":0.214092141941572,"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."}}