{"id":"W4405940766","doi":"10.33423/jabe.v26i6.7432","title":"Analysis of the Relationship Between Extreme Weather Disasters and Claim Ratio Volatility Under Global Climate Change","year":2024,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Volatility (finance); Extreme weather; Climate change; Climatology; Environmental science; Meteorology; Economics; Econometrics; Geography; Oceanography; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009020912,0.0002055926,0.0002339883,0.0009429371,0.0002956303,0.000627557,0.0002873769,0.0002666197,0.0008925395],"category_scores_gemma":[0.002264001,0.0001273612,0.0006127114,0.001289184,0.0003156977,0.0003392517,0.0005190253,0.0004392576,0.00009658281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006573438,"about_ca_system_score_gemma":0.0007450052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06159179,"about_ca_topic_score_gemma":0.04905847,"domain_scores_codex":[0.9996179,0.0000814931,0.00003394288,0.00008532817,0.00008125106,0.0001000322],"domain_scores_gemma":[0.9979887,0.0006397737,0.0007036001,0.0001746722,0.000266247,0.0002270145],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002739068,0.00001747328,0.9972329,0.000006187823,0.00006948288,0.00006763713,0.0001104215,0.0008195865,0.0001611817,0.0001105375,0.0001151275,0.001262188],"study_design_scores_gemma":[0.000001316446,0.0000131642,0.9971662,0.000001292716,0.00002199799,0.00001632004,0.0001806787,0.002412749,0.00005194656,0.00004286173,0.00008846913,0.000003021024],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993317,0.00003953256,0.0001162697,0.00004888263,0.000001998288,0.000002881028,0.0002482422,0.00000367889,0.0002067997],"genre_scores_gemma":[0.9993966,0.00002859236,0.00003296169,0.000004909354,0.000003577471,0.000002284942,0.0004550448,9.160644e-7,0.00007518371],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06159179,"threshold_uncertainty_score":0.1224666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07078463470798842,"score_gpt":0.2385371768013251,"score_spread":0.1677525420933367,"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."}}