{"id":"W4387130989","doi":"10.1016/j.jeem.2023.102887","title":"Burned agricultural biomass, air pollution and crime","year":2023,"lang":"en","type":"article","venue":"Journal of Environmental Economics and Management","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Agriculture; Air pollution; Natural resource economics; Biomass (ecology); Earnings; Pollution; Social cost; Environmental science; Biomass burning; Economics; Agricultural economics; Geography; Ecology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000530898,0.0001716617,0.0002107146,0.001029079,0.0005635075,0.001619976,0.0005277641,0.000861693,0.006171346],"category_scores_gemma":[0.003096288,0.0002064928,0.0004488576,0.001156723,0.0009935668,0.0006617549,0.0008151439,0.000936136,0.0003921825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008809135,"about_ca_system_score_gemma":0.0008954088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04317971,"about_ca_topic_score_gemma":0.0700023,"domain_scores_codex":[0.9996541,0.0001288666,0.0000239789,0.00002450752,0.00006881202,0.00009988038],"domain_scores_gemma":[0.99697,0.001263379,0.0008544609,0.0001047052,0.0001901637,0.0006172673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002609273,0.000384185,0.9925046,0.00002441463,0.0001618782,0.0002072459,0.0001954453,0.001024332,0.00008797035,0.0009108171,0.0003380272,0.003900204],"study_design_scores_gemma":[0.00001007481,0.0001422965,0.9932731,0.00003168379,0.00007058294,0.0002473901,0.002526613,0.001760727,0.0001126357,0.00101305,0.0008032229,0.000008569422],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972601,0.0004648855,0.00005004066,0.000292852,0.00001540778,0.00000274177,0.0001206518,0.000001384982,0.001791803],"genre_scores_gemma":[0.9986117,0.0002912464,0.00002566308,0.00002384666,0.00002056632,0.000002438888,0.00008765634,0.000001120868,0.0009356944],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04317971,"threshold_uncertainty_score":0.0858568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006011688302755967,"score_gpt":0.1738095720635444,"score_spread":0.1677978837607885,"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."}}