{"id":"W4321375740","doi":"10.1016/j.envres.2023.115522","title":"The impact of wildfires on air pollution and health across land use categories in Brazil over a 16-year period","year":2023,"lang":"en","type":"article","venue":"Environmental Research","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":51,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Environmental science; Air pollution; Land cover; Air quality index; Hazard; Land use; Pollution; Meteorology; Physical geography; Geography; Ecology","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":[0.0006316759,0.0002805869,0.0003877509,0.0009238101,0.0004031434,0.0006156673,0.0004557708,0.0004583968,0.0005492993],"category_scores_gemma":[0.00198677,0.0002458908,0.000756047,0.001389471,0.0005180992,0.0004837713,0.0009382407,0.0003999263,0.00009508466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001819863,"about_ca_system_score_gemma":0.001078131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1996396,"about_ca_topic_score_gemma":0.3194421,"domain_scores_codex":[0.9996015,0.00006824631,0.00005026374,0.0001074447,0.00006943186,0.0001030767],"domain_scores_gemma":[0.9986865,0.0001782865,0.0005706018,0.00007617353,0.0002710851,0.000217313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005605438,0.00002279154,0.9965206,0.0000283285,0.0001327604,0.00006765042,0.0004412689,0.00009966829,0.0003344431,0.00005353319,0.0001108105,0.002131922],"study_design_scores_gemma":[8.096604e-7,0.00001714743,0.9991197,0.000007192089,0.00002102884,0.00004049864,0.0004462243,0.00006348379,0.00003213553,0.00001130154,0.0002381557,0.000002368553],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963536,0.000949315,0.0001052884,0.0001809317,0.00001061535,0.00001146924,0.001590221,0.000006398192,0.000792197],"genre_scores_gemma":[0.9987588,0.0003144891,0.00007036935,0.00002528814,0.00000491175,0.000007250338,0.0005706855,0.000002022099,0.000246249],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1996396,"threshold_uncertainty_score":0.3969551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02966203659408597,"score_gpt":0.3659593391009792,"score_spread":0.3362973025068932,"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."}}