{"id":"W3009377555","doi":"10.1161/jaha.119.013021","title":"Association Between Road Traffic Noise and Incidence of Diabetes Mellitus and Hypertension in Toronto, Canada: A Population‐Based Cohort Study","year":2020,"lang":"en","type":"article","venue":"Journal of the American Heart Association","topic":"Noise Effects and Management","field":"Health Professions","cited_by":134,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Advancing Health Outcomes; McGill University Health Centre; Health Canada; Institute for Clinical Evaluative Sciences; McGill University; Toronto Metropolitan University; University of Toronto; Public Health Ontario","funders":"Canadian Institutes of Health Research; Department of Family and Community Medicine, University of Toronto; University of Toronto; Ontario Ministry of Health and Long-Term Care","keywords":"Medicine; Interquartile range; Cohort; Diabetes mellitus; Blood pressure; Population; Cohort study; Hazard ratio; Type 2 Diabetes Mellitus; Incidence (geometry); Demography; Internal medicine; Environmental health; 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":[],"consensus_categories":[],"category_scores_codex":[0.002120016,0.0000876292,0.000581706,0.00003341521,0.0001528418,0.000008695202,0.00007432939,0.00004187528,0.000007017249],"category_scores_gemma":[0.001594896,0.00006562914,0.00004662592,0.0002162263,0.000009539821,0.0001353926,0.00005302773,0.0002568376,2.974705e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002226192,"about_ca_system_score_gemma":0.0002303855,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2682181,"about_ca_topic_score_gemma":0.2494595,"domain_scores_codex":[0.997372,0.001148536,0.0005949536,0.0001140375,0.000582231,0.0001882809],"domain_scores_gemma":[0.997319,0.0009658179,0.001348863,0.0000813985,0.0002011432,0.00008374045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001947038,0.0000352439,0.9960954,0.0000301746,0.00009709367,5.422057e-7,0.0005001518,0.0001365114,0.0002080191,6.528489e-7,0.001592511,0.001284242],"study_design_scores_gemma":[0.0006379466,0.0002335241,0.9966648,0.00008037718,0.0001765094,5.66453e-8,0.001090031,0.000925696,0.000009016839,0.000004017995,0.000117821,0.00006022412],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992798,0.0001452656,0.00000244658,0.006223571,0.000154795,0.0006512562,0.000007300773,0.000005071874,0.00001223476],"genre_scores_gemma":[0.998415,0.00004228296,0.00006256072,0.001302063,0.0001376589,0.000008418112,0.000001419656,0.000008407915,0.00002218554],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01875856,"threshold_uncertainty_score":0.7642359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01743473415537133,"score_gpt":0.3125824388529285,"score_spread":0.2951477046975571,"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."}}