{"id":"W4313318932","doi":"10.1257/app.20200662","title":"The Economic Incidence of Wildfire Suppression in the United States","year":2022,"lang":"en","type":"article","venue":"American Economic Journal Applied Economics","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Subsidy; Harm; Economics; Value (mathematics); Hazard; Natural resource economics; Demographic economics; Geography; Public economics; Political science; Ecology; Statistics; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002346968,0.0002164056,0.0003703544,0.0001106965,0.0006910017,0.0001162119,0.001539872,0.0000257986,0.0004836337],"category_scores_gemma":[0.0000117801,0.0001621271,0.0001104602,0.0001470243,0.0005642456,0.0002021057,0.000473049,0.0005602914,0.0002516607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002482857,"about_ca_system_score_gemma":0.0001032738,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007197653,"about_ca_topic_score_gemma":0.001963677,"domain_scores_codex":[0.9979587,0.0002785078,0.0008593884,0.0003341163,0.00009867844,0.0004705778],"domain_scores_gemma":[0.9974445,0.0008028996,0.00112873,0.0005259339,0.00000164534,0.00009630423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002022656,0.00005148934,0.04521201,0.000002945893,0.00005015562,0.000004577804,0.002254321,0.9148191,0.0001204409,0.001093826,0.007850927,0.02833799],"study_design_scores_gemma":[0.002504476,0.000973244,0.1371459,0.00001894574,0.00005856386,0.0009601047,0.04117453,0.3792194,0.000619577,0.01149933,0.4245048,0.00132109],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956082,0.00002945937,0.00001387463,0.001162925,0.0004470384,0.0003637541,0.00003427048,0.00001090195,0.002329578],"genre_scores_gemma":[0.9984046,0.0005001071,0.0000830751,0.0007464251,0.00008477517,0.0001009596,0.00001470702,0.00003216477,0.00003323444],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5355996,"threshold_uncertainty_score":0.9994135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003889376364514729,"score_gpt":0.1958051425478207,"score_spread":0.191915766183306,"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."}}