{"id":"W4412771564","doi":"10.1142/s2010007825500125","title":"NATURAL DISASTERS AND INDIVIDUAL ECONOMIC PERFORMANCE: A CASE STUDY FROM THE SLAVE LAKE WILDFIRE","year":2025,"lang":"en","type":"article","venue":"Climate Change Economics","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Université du Québec à Rimouski","funders":"","keywords":"Natural disaster; Agriculture; Geography; Firefighting; Economics; Agricultural economics; Economic impact analysis; Environmental science; Demographic economics; Socioeconomics; Natural resource economics; Meteorology; Cartography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0008131778,0.0002419028,0.0002168312,0.0009286344,0.001922479,0.0008740608,0.0007363211,0.0005480337,0.001413438],"category_scores_gemma":[0.002118063,0.0001644967,0.0003590658,0.001875339,0.0007223134,0.0004452422,0.0008073804,0.0008737439,0.0001426301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003186174,"about_ca_system_score_gemma":0.001774533,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3549964,"about_ca_topic_score_gemma":0.6137816,"domain_scores_codex":[0.999671,0.0001130504,0.00001114241,0.00002466927,0.00007627568,0.0001037785],"domain_scores_gemma":[0.9989523,0.0004438737,0.0001466286,0.00006454986,0.0001703641,0.0002222391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002332601,0.001323058,0.9510914,0.00005262282,0.0001320364,0.005986373,0.007476761,0.008438075,0.000198784,0.001616076,0.005502953,0.01794864],"study_design_scores_gemma":[0.00004514048,0.0002778537,0.9343227,0.00006221834,0.00006015733,0.001317318,0.04196876,0.01547567,0.0002261607,0.0007496579,0.005455578,0.00003875879],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982679,0.00005707367,0.0001196366,0.0001776615,0.000003018132,0.00001401922,0.0002021965,0.000002970654,0.001155687],"genre_scores_gemma":[0.9978576,0.0001934305,0.0004195107,0.00005028503,0.000006681735,0.00001643306,0.0004204816,0.000003695294,0.001031916],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6450036,"threshold_uncertainty_score":0.7058601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02020202189222518,"score_gpt":0.2289142415901254,"score_spread":0.2087122196979002,"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."}}