{"id":"W4288984461","doi":"","title":"HOLT AND LAURY MEASURES AND INSURANCE DECISIONS: A SAME RISK ATTITUDE? A LAB EXPERIMENT","year":2019,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"Actuarial science; Psychology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006300068,0.001109601,0.00136376,0.0005349983,0.001001337,0.00368347,0.001386326,0.004416814,0.02472335],"category_scores_gemma":[0.03427165,0.000667679,0.0008187344,0.0004175722,0.002002234,0.002091118,0.001332908,0.003455073,0.003790221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006492918,"about_ca_system_score_gemma":0.0007895804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001160619,"about_ca_topic_score_gemma":0.000564675,"domain_scores_codex":[0.9962233,0.001841322,0.0002477348,0.0008154027,0.000626182,0.000245956],"domain_scores_gemma":[0.9403127,0.04227236,0.005752143,0.00685098,0.0009875809,0.003824322],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"nonrandomized_trial","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.2184295,0.3504236,0.1043195,0.001239561,0.001474812,0.001420466,0.012355,0.01085309,0.1387248,0.03583089,0.01525154,0.1096771],"study_design_scores_gemma":[0.06916664,0.3638908,0.3267704,0.0002796824,0.002325598,0.001025278,0.005088863,0.062918,0.05305487,0.09062013,0.02381526,0.001044461],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936916,0.00005590884,0.0009511304,0.0004337406,0.0001334934,0.0002830423,0.0002396863,0.00003862114,0.004172779],"genre_scores_gemma":[0.9854151,0.00007893829,0.002555931,0.0006600861,0.0001801296,0.000907719,0.0002503682,0.0000430209,0.00990874],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02472335,"threshold_uncertainty_score":0.08270782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02628883736163616,"score_gpt":0.2261473123738972,"score_spread":0.199858475012261,"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."}}