{"id":"W2098785464","doi":"10.1186/1476-069x-13-5","title":"Extreme ambient temperatures and cardiorespiratory emergency room visits: assessing risk by comorbid health conditions in a time series study","year":2014,"lang":"en","type":"article","venue":"Environmental Health","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":91,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada; Public Health Ontario; University of Toronto; Institute for Clinical Evaluative Sciences; Public Health Agency of Canada","funders":"Medical Research Council","keywords":"Medicine; Cardiorespiratory fitness; Percentile; Poisson regression; Relative risk; Effect modification; Confounding; Confidence interval; Demography; Apparent temperature; Environmental health; Internal medicine; Relative humidity; Population","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":[0.004168435,0.0003799099,0.0004783841,0.00105869,0.0003369083,0.000592956,0.0006057341,0.0005322204,0.000872127],"category_scores_gemma":[0.009293797,0.0003408772,0.001490033,0.001583331,0.0003607977,0.0005838798,0.000775697,0.0007042959,0.0001162709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003395451,"about_ca_system_score_gemma":0.0003408354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005297365,"about_ca_topic_score_gemma":0.004367026,"domain_scores_codex":[0.9970481,0.001653913,0.0002703071,0.0004977508,0.0003314083,0.0001986269],"domain_scores_gemma":[0.9919918,0.002818612,0.003270906,0.000931885,0.0003531815,0.0006335074],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002144095,0.00003987633,0.9983103,0.00001259017,0.0003611878,0.00005266005,0.00007139978,0.0001162509,0.0000943568,0.00001987858,0.00003632942,0.0006708418],"study_design_scores_gemma":[0.000008332727,0.0001979515,0.9979749,0.000005763412,0.0001088036,0.0001410555,0.000112637,0.001302567,0.00004019881,0.00003595966,0.00006659862,0.000005077136],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989051,0.0001643147,0.0005120183,0.0000302312,0.000008021877,0.00001732649,0.0002501747,0.000003209581,0.0001096955],"genre_scores_gemma":[0.9990574,0.00008998578,0.0003462186,0.00001316586,0.00001609935,0.00003065843,0.0003946279,0.000001934762,0.00004987034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005297365,"threshold_uncertainty_score":0.02204508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02503871642262346,"score_gpt":0.3075337648968688,"score_spread":0.2824950484742454,"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."}}