{"id":"W3113536907","doi":"10.1093/ije/dyaa230","title":"Long-term exposure to iron and copper in fine particulate air pollution and their combined impact on reactive oxygen species concentration in lung fluid: a population-based cohort study of cardiovascular disease incidence and mortality in Toronto, Canada","year":2020,"lang":"en","type":"article","venue":"International Journal of Epidemiology","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Dalhousie University; Health Canada; University of Toronto; Public Health Ontario","funders":"Public Health Ontario; Canadian Institutes of Health Research; Health Effects Institute; Health Canada; Ontario Ministry of Health and Long-Term Care; Institute for Clinical Evaluative Sciences; U.S. Environmental Protection Agency","keywords":"Medicine; Population; Myocardial infarction; Cohort; Incidence (geometry); Cohort study; Particulates; Environmental health; Pollutant; Reactive oxygen species; Proportional hazards model; Air pollution; Internal medicine; Cardiology; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000767939,0.0005717016,0.0005364863,0.0008158875,0.00193948,0.001174028,0.001384706,0.0006278339,0.001429646],"category_scores_gemma":[0.001388422,0.0004330961,0.0009399855,0.002575444,0.000647647,0.0003273074,0.0007487929,0.0007345771,0.0002509402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02369309,"about_ca_system_score_gemma":0.01789171,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9911869,"about_ca_topic_score_gemma":0.9928396,"domain_scores_codex":[0.9990865,0.00008451017,0.0000723656,0.0002141228,0.0003244788,0.0002179925],"domain_scores_gemma":[0.9980634,0.00009420372,0.0002940967,0.0001102542,0.0009900813,0.0004478976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000139719,0.00003560515,0.9960527,0.00003828478,0.0002097432,0.0001243555,0.0005011446,0.0002236643,0.0004000883,0.00006852758,0.0009760138,0.001229961],"study_design_scores_gemma":[0.00001045658,0.00001974991,0.9986198,0.00001794007,0.00007435542,0.0000467932,0.0003205854,0.0003465421,0.00005727828,0.00001822111,0.0004572764,0.00001096737],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881303,0.001382453,0.0003495463,0.0003274062,0.00002621337,0.0000736639,0.008674788,0.0000179635,0.001017668],"genre_scores_gemma":[0.9956304,0.0005026496,0.0002765526,0.000082632,0.00000811943,0.00002377325,0.002344547,0.000004885707,0.001126442],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02369309,"threshold_uncertainty_score":0.1719062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0347208887513211,"score_gpt":0.3341096433052509,"score_spread":0.2993887545539298,"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."}}