{"id":"W2105346598","doi":"10.1289/ehp.1205958","title":"Risk of Incident Diabetes in Relation to Long-term Exposure to Fine Particulate Matter in Ontario, Canada","year":2013,"lang":"en","type":"article","venue":"Environmental Health Perspectives","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":270,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; McGill University Health Centre; McGill University; Institute for Clinical Evaluative Sciences; Health Canada; Public Health Ontario; Dalhousie University; University of Toronto","funders":"Health Canada; Department of Family and Community Medicine, University of Toronto; University of Toronto; Ontario Ministry of Health and Long-Term Care; Institute for Clinical Evaluative Sciences","keywords":"Medicine; Diabetes mellitus; Body mass index; Type 2 diabetes; Cohort study; Hazard ratio; Proportional hazards model; Population; Epidemiology; Environmental health; Cohort; Demography; Gerontology; Internal medicine; Confidence interval; Endocrinology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004085191,0.0001704142,0.0002800746,0.00007871004,0.0001005409,0.000009181564,0.000131497,0.00005638448,0.007274984],"category_scores_gemma":[0.0000302153,0.0001708945,0.00002672255,0.0001663939,0.00007120598,0.0002429687,0.000149351,0.0002771301,0.0005095517],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006308539,"about_ca_system_score_gemma":0.0001023242,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9665655,"about_ca_topic_score_gemma":0.9935304,"domain_scores_codex":[0.997883,0.0002170495,0.0005434697,0.0004038235,0.0003696687,0.0005830243],"domain_scores_gemma":[0.9990942,0.00006619688,0.0001569173,0.0002489788,0.000001832218,0.0004319028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002216972,0.0002106662,0.9768012,0.00001795341,0.000003324398,0.000002273695,0.01664018,0.004178202,0.0002067586,0.000002600193,0.001099289,0.0008153564],"study_design_scores_gemma":[0.0003505372,0.0003555359,0.9973572,0.00006227231,0.00000205758,6.521709e-7,0.001383558,0.00005424675,0.0001351398,0.00005832449,0.00007942267,0.0001610125],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991306,0.00008715122,0.00001616279,0.007236079,0.00005241035,0.001134143,0.00001735947,0.00000570447,0.0001450085],"genre_scores_gemma":[0.9965753,0.0000195763,0.0005013301,0.002484843,0.0000121747,0.0001028365,0.000008598995,0.00001430136,0.0002810198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02696489,"threshold_uncertainty_score":0.9975061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01205868777720198,"score_gpt":0.2545633890207675,"score_spread":0.2425047012435655,"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."}}