{"id":"W1584626121","doi":"10.2139/ssrn.2363877","title":"Risk Aversion, Risk Behavior and Demand for Insurance: A Survey","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":122,"is_retracted":false,"has_abstract":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Actuarial science; Risk aversion (psychology); Economics; Business; Financial economics; Expected utility hypothesis","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":[0.00339122,0.0001736807,0.0003447344,0.000178505,0.0005032401,0.0001316961,0.0002102273,0.0001021622,0.00005834811],"category_scores_gemma":[0.0002405451,0.0001781391,0.0001294873,0.0001655259,0.00004959735,0.0003888279,0.00004047488,0.0008513882,0.0002217317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002772815,"about_ca_system_score_gemma":0.0001088415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002759152,"about_ca_topic_score_gemma":0.001681363,"domain_scores_codex":[0.997646,0.00004729076,0.0005168968,0.0003197195,0.00004902529,0.001421036],"domain_scores_gemma":[0.998976,0.00007736935,0.0005786078,0.0001862216,0.00009722171,0.0000845717],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003902033,0.00006066871,0.9263663,0.000006646663,0.00008270393,4.372816e-7,0.0001211026,0.00001273267,0.000001273224,0.04268827,0.0005901854,0.03003065],"study_design_scores_gemma":[0.001068777,0.0002346121,0.7663001,0.000005073058,0.0000186709,0.00001208769,0.000142557,0.0002041492,0.0000028016,0.2271718,0.00463861,0.0002007736],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9671617,0.008653838,0.02255968,0.00008243375,0.0003301816,0.0005537432,0.0002257034,0.00001613646,0.0004165693],"genre_scores_gemma":[0.9430656,0.05547995,0.0001897686,0.00005746679,0.000155019,0.00008449337,0.00001034983,0.00002671079,0.0009305897],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1844835,"threshold_uncertainty_score":0.72643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0113295880430597,"score_gpt":0.2090850178263118,"score_spread":0.1977554297832521,"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."}}