{"id":"W2181531051","doi":"10.1289/ehp.1409276","title":"Ambient PM <sub>2.5</sub> , O <sub>3</sub> , and NO <sub>2</sub> Exposures and Associations with Mortality over 16 Years of Follow-Up in the Canadian Census Health and Environment Cohort (CanCHEC)","year":2015,"lang":"en","type":"article","venue":"Environmental Health Perspectives","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":559,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of British Columbia; Public Health Ontario; Dalhousie University; University of New Brunswick; University of Toronto; McGill University Health Centre; Carleton University; Environment and Climate Change Canada; Health Canada","funders":"","keywords":"Pollutant; Percentile; Nitrogen dioxide; Environmental health; Air pollution; Ozone; Environmental science; Particulates; Criteria air contaminants; Hazard ratio; Medicine; Air pollutants; Toxicology; Demography; Geography; Confidence interval; Meteorology; Chemistry; Statistics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006240508,0.0004010213,0.000317619,0.0006892997,0.0008962729,0.0006759395,0.0009322522,0.000518237,0.001513858],"category_scores_gemma":[0.001409683,0.0003209276,0.0007304776,0.001437219,0.0003606418,0.0002278603,0.0005038826,0.0006310016,0.0001520133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004433272,"about_ca_system_score_gemma":0.00533582,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.92006,"about_ca_topic_score_gemma":0.9234002,"domain_scores_codex":[0.9996779,0.00002055773,0.00001781071,0.00008898706,0.0000848897,0.0001099518],"domain_scores_gemma":[0.9991691,0.00005463946,0.0002112942,0.00005673169,0.0002466835,0.0002615571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000201159,0.00002208405,0.9974994,0.00002491696,0.000170146,0.00003323908,0.00007951202,0.00009336634,0.0001112778,0.00003200674,0.0007084042,0.001024479],"study_design_scores_gemma":[0.000008582761,0.00001582487,0.9993781,0.000007823546,0.00005166466,0.00002526001,0.00006825683,0.0001515745,0.00001935281,0.00001520884,0.0002547468,0.00000363054],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898037,0.001062537,0.0001023224,0.0001682903,0.0000194763,0.00002214928,0.008122707,0.00001136891,0.0006875307],"genre_scores_gemma":[0.994113,0.000453404,0.0001564765,0.00004986134,0.000009259405,0.00001958006,0.004370959,0.000004851196,0.0008225141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07993996,"threshold_uncertainty_score":0.1608214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02891012358418923,"score_gpt":0.27806158127141,"score_spread":0.2491514576872207,"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."}}