{"id":"W3205028306","doi":"","title":"Moral Hazard, Wildfires, and the Economic Incidence of Natural Disasters","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Subsidy; Harm; Moral hazard; Natural hazard; Firefighting; Natural disaster; Hazard; Value (mathematics); Business; Natural resource economics; Actuarial science; Economics; Public economics; Geography; Incentive; Political science; Microeconomics; Computer science","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":[0.001520933,0.000151912,0.000216536,0.0006693591,0.0002089142,0.0009348392,0.0002474661,0.0004239583,0.003069768],"category_scores_gemma":[0.01767304,0.0001178329,0.0002291964,0.0007152468,0.0008422686,0.0007980019,0.0005889875,0.0008055564,0.0002537228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008516484,"about_ca_system_score_gemma":0.0003414452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003213293,"about_ca_topic_score_gemma":0.004468234,"domain_scores_codex":[0.9993975,0.0002597119,0.00003962606,0.00006203009,0.0001354103,0.0001056391],"domain_scores_gemma":[0.9776461,0.01097972,0.009161913,0.0007064279,0.0005363537,0.0009694829],"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":[0.0001474867,0.0002282768,0.9525512,0.00002850253,0.00009788335,0.00009349746,0.0001831484,0.02546678,0.0002677806,0.006924503,0.0003851079,0.01362585],"study_design_scores_gemma":[0.00001000883,0.0001734137,0.9572527,0.00001624599,0.00003121621,0.0001605432,0.000618347,0.0307176,0.0002989807,0.00974478,0.0009534055,0.00002274852],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942246,0.0001305314,0.001737938,0.0001528754,0.000005630951,0.000006517178,0.0001420916,0.00000957688,0.003590194],"genre_scores_gemma":[0.9994133,0.00005747192,0.000127091,0.000008147545,0.000005844474,0.000002585883,0.00006457374,0.000001061345,0.0003199934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003213293,"threshold_uncertainty_score":0.01026934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00224126206528921,"score_gpt":0.1950422093241059,"score_spread":0.1928009472588167,"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."}}