{"id":"W2586813007","doi":"10.1097/ede.0000000000000636","title":"Biomass Burning as a Source of Ambient Fine Particulate Air Pollution and Acute Myocardial Infarction","year":2017,"lang":"en","type":"article","venue":"Epidemiology","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada","funders":"Ministry of Environment","keywords":"Medicine; Myocardial infarction; Particulates; Odds ratio; Environmental science; Levoglucosan; Environmental health; Air pollution; Logistic regression; Biomass burning; Internal medicine; Meteorology; Aerosol; Geography; Ecology; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001712783,0.00008709621,0.000279657,0.00002195789,0.0003649385,0.000004201501,0.000102803,0.000121156,0.0001200257],"category_scores_gemma":[0.001628231,0.00007479644,0.0000460375,0.0000327964,0.0004803647,0.000148397,0.0001856657,0.0001096991,0.0001054861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005954798,"about_ca_system_score_gemma":0.00001050319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005749302,"about_ca_topic_score_gemma":0.000142204,"domain_scores_codex":[0.9987178,0.0003383526,0.0003319526,0.0002170637,0.00007493128,0.0003198462],"domain_scores_gemma":[0.9990056,0.0001825465,0.0003781858,0.0002718816,0.000005289648,0.0001564629],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001310958,0.00004103118,0.9582653,0.0000237597,0.00005984493,0.00000373941,0.0008926174,0.002794267,0.01035516,0.001248799,0.005390319,0.02079407],"study_design_scores_gemma":[0.0002878256,0.0002067551,0.9797264,0.00001098403,0.00002226684,0.00002242058,0.00001683038,0.002154608,0.0006855265,0.003990007,0.01280044,0.00007593277],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9589436,0.00004575646,0.002727385,0.03744356,0.0001598883,0.0001164863,0.000002835074,0.00001822745,0.0005422673],"genre_scores_gemma":[0.99526,0.00004904678,0.0008939237,0.003566033,0.00006894297,0.00000636007,0.000003662893,0.000004858137,0.0001471582],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03631641,"threshold_uncertainty_score":0.8691263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05733574987696213,"score_gpt":0.3578783680078609,"score_spread":0.3005426181308988,"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."}}