{"id":"W4293829919","doi":"10.17269/s41997-022-00665-1","title":"Impact of Ontario’s Harmonized Heat Warning and Information System on emergency department visits for heat-related illness in Ontario, Canada: a population-based time series analysis","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph; Environment and Climate Change Canada; Health Canada; University of Toronto; St Joseph's Health Care; Institute for Clinical Evaluative Sciences; Western University","funders":"Lawson Health Research Institute; Canadian Institutes of Health Research; Western University; Ontario Ministry of Health and Long-Term Care; Schulich School of Medicine and Dentistry; Academic Medical Organization of Southwestern Ontario","keywords":"Heat illness; Warning system; Emergency department; Heat wave; Medical emergency; Time series; Emergency response; Series (stratigraphy); Population; Operations research; Meteorology; Operations management; Medicine; Geography; Computer science; Engineering; Statistics; Environmental health; Telecommunications; Climate change; Nursing; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.001709135,0.0004278708,0.0005370744,0.0008573303,0.001156359,0.001419175,0.001344681,0.0006568907,0.001098017],"category_scores_gemma":[0.00450358,0.0003162979,0.00140439,0.003797353,0.0006755077,0.0005781603,0.0008936287,0.0009805262,0.0001476832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0332586,"about_ca_system_score_gemma":0.03884447,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9965265,"about_ca_topic_score_gemma":0.9964966,"domain_scores_codex":[0.9981317,0.0002219441,0.0001700994,0.0002382976,0.0007411271,0.0004967959],"domain_scores_gemma":[0.9957419,0.0003706169,0.0008467179,0.0001693819,0.002216308,0.0006550605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00034413,0.0001011246,0.9853926,0.0001209267,0.0006318091,0.0001283479,0.0006749452,0.002317022,0.0001960309,0.0002258203,0.004957051,0.004910099],"study_design_scores_gemma":[0.00001469219,0.00002952394,0.9968942,0.00002144226,0.0001017408,0.00001686427,0.0004393939,0.001368519,0.00002708551,0.00001401807,0.001062927,0.000009551842],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9688237,0.001124897,0.0002925301,0.001183598,0.00005687565,0.00008271405,0.02660867,0.00002822897,0.001798947],"genre_scores_gemma":[0.989444,0.0005052196,0.0002289619,0.0001841574,0.00001561847,0.00002774724,0.008519519,0.000007288534,0.001067452],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0332586,"threshold_uncertainty_score":0.2413092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0298554547226715,"score_gpt":0.2610903496056677,"score_spread":0.2312348948829962,"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."}}