{"id":"W4376116693","doi":"10.1016/j.envres.2023.116092","title":"Associations between environmental noise and myocardial infarction and stroke: Investigating the potential mediating effects of hypertension","year":2023,"lang":"en","type":"article","venue":"Environmental Research","topic":"Noise Effects and Management","field":"Health Professions","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Montreal Police Service; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Université de Montréal; Université Laval; Institut National de Santé Publique du Québec","funders":"","keywords":"Stroke (engine); Interquartile range; Medicine; Confidence interval; Proportional hazards model; Myocardial infarction; Cohort; Population; Hazard ratio; Cohort study; Logistic regression; Mediation; Internal medicine; Demography; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002280817,0.0001216894,0.0002118311,0.0001257087,0.001484934,0.00001709499,0.0001038657,0.0001201835,0.00002792088],"category_scores_gemma":[0.0004625139,0.00009406755,0.00003881676,0.0001476581,0.0003827802,0.0001189411,0.0008655842,0.0006851698,0.00009037356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001705503,"about_ca_system_score_gemma":0.00002216687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002103258,"about_ca_topic_score_gemma":0.000005676522,"domain_scores_codex":[0.996973,0.001142187,0.0003117653,0.0002865024,0.0008000286,0.0004865353],"domain_scores_gemma":[0.9969978,0.002531419,0.0001269,0.0001930662,0.00000582398,0.0001450033],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001303001,0.00004342024,0.586179,0.0001258502,0.0001119238,0.000008170319,0.002508604,0.00002046358,0.3782987,0.00007031554,0.0007771644,0.03184346],"study_design_scores_gemma":[0.0007414058,0.0001314617,0.9937909,0.00004998589,0.00004522933,4.60103e-7,0.002648934,0.0005172728,0.001185178,0.0004041997,0.0004008667,0.00008413575],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971163,0.0001825631,0.0000124271,0.001014698,0.0001819112,0.00117864,0.0000997349,0.0000287782,0.0001849566],"genre_scores_gemma":[0.9980214,0.0007467074,0.00005666939,0.000101299,0.0003193216,0.0001131448,0.0001338242,0.00002503375,0.0004826515],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4076119,"threshold_uncertainty_score":0.999815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06037536499556118,"score_gpt":0.3671570375864828,"score_spread":0.3067816725909216,"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."}}