{"id":"W3045642481","doi":"10.1016/j.jebo.2020.07.007","title":"Natural disasters and risk aversion","year":2020,"lang":"en","type":"article","venue":"Journal of Economic Behavior & Organization","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":145,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University; Université Laval","funders":"Social Sciences and Humanities Research Council of Canada; Concordia University","keywords":"Natural disaster; Risk aversion (psychology); Natural (archaeology); Risk analysis (engineering); Actuarial science; Economics; Forensic engineering; Business; Engineering; Geography; Financial economics; Geology; Expected utility hypothesis; Oceanography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007272855,0.000126663,0.0001334366,0.0003726288,0.000283214,0.001192362,0.0001175538,0.0005321824,0.006012811],"category_scores_gemma":[0.004275731,0.0001118213,0.0001512372,0.000304801,0.0006816367,0.0006629659,0.0004598903,0.0008222907,0.0001684421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003672363,"about_ca_system_score_gemma":0.0002531878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0014078,"about_ca_topic_score_gemma":0.001836708,"domain_scores_codex":[0.9998846,0.00005173415,0.000004507397,0.00001125816,0.00001412642,0.00003365275],"domain_scores_gemma":[0.9968678,0.002131208,0.0005011368,0.00009734873,0.000102594,0.0002999133],"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":[0.0006736765,0.001419728,0.3401761,0.00008083874,0.00023063,0.001107846,0.002901547,0.01805634,0.00173875,0.5787818,0.004476293,0.0503564],"study_design_scores_gemma":[0.0001222016,0.0002956162,0.3439825,0.0000593131,0.0001592316,0.000872904,0.006213743,0.02557433,0.0004250614,0.611454,0.01078954,0.00005156323],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9582418,0.0005185654,0.002346065,0.002438726,0.00003627957,0.000008133386,0.00004095213,0.000009626468,0.03635978],"genre_scores_gemma":[0.9984048,0.000139679,0.00008934989,0.00004126427,0.00001032259,0.000001232182,0.000006768031,8.650934e-7,0.001305667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006012811,"threshold_uncertainty_score":0.02011484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007484282766569042,"score_gpt":0.1813280876594602,"score_spread":0.1738438048928912,"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."}}