{"id":"W4381942483","doi":"10.3390/jrfm16050264","title":"The Effects of Climate Change to Weather-Related Environmental Hazards: Interlinkages of Economic Factors and Climate Risk","year":2023,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Climate change; Index (typography); Greenhouse gas; Global warming; Geography; Climatology; Environmental science; Order (exchange); Natural resource economics; Economics; Computer science; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009535257,0.0001672193,0.0005189102,0.0003651353,0.0001666106,0.00003709594,0.0001768784,0.00007416338,0.00001380087],"category_scores_gemma":[0.00008161521,0.0001409562,0.0001563262,0.0001004253,0.00009557496,0.0001571508,0.0002634251,0.0001481869,0.00003504242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006239151,"about_ca_system_score_gemma":0.0000030381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001234341,"about_ca_topic_score_gemma":0.00009060165,"domain_scores_codex":[0.998552,0.00002597998,0.0008932756,0.0001931446,0.00003416746,0.0003014307],"domain_scores_gemma":[0.9983914,0.0002186088,0.001126847,0.000170398,0.00000625743,0.00008650251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001944984,0.00009014735,0.8444424,0.0003858328,0.0001829617,0.0000125352,0.007691467,0.00006212699,0.00001459051,0.02986743,0.0001952765,0.1168607],"study_design_scores_gemma":[0.001138867,0.0005116908,0.9751388,0.0001403916,0.00009046186,0.000003645267,0.001236375,0.000370045,0.0001048651,0.009204607,0.01184827,0.0002119905],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952183,0.002733597,0.00004987383,0.0001196286,0.0007301839,0.0002750096,0.0005935953,0.000006867413,0.0002729516],"genre_scores_gemma":[0.7853437,0.2144575,0.00005485186,0.00002530131,0.00007447312,0.000008495947,0.000003187071,0.00001530726,0.00001717738],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2117239,"threshold_uncertainty_score":0.5748026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01562960781529625,"score_gpt":0.2174018195091417,"score_spread":0.2017722116938454,"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."}}