{"id":"W3091903274","doi":"10.9778/cmajo.20190160","title":"Temporal and spatial effect of air pollution on hospital admissions for myocardial infarction: a case-crossover study","year":2020,"lang":"en","type":"article","venue":"CMAJ Open","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; University of Calgary; University of Alberta; Health Canada; Montreal Heart Institute; Air Canada","funders":"Canadian Institutes of Health Research","keywords":"Air pollution; Particulates; Odds ratio; Nitrogen dioxide; Air quality index; Conditional logistic regression; Environmental science; Medicine; Confidence interval; Pollution; Environmental health; Meteorology; Geography; Internal medicine; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"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":[0.004128154,0.0006845053,0.001031963,0.001072938,0.001388144,0.001281627,0.0009941402,0.001461546,0.002955985],"category_scores_gemma":[0.008208234,0.001107895,0.001765416,0.001420443,0.00122318,0.0009109817,0.001020863,0.001339508,0.0003672225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000884118,"about_ca_system_score_gemma":0.0007546113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01064028,"about_ca_topic_score_gemma":0.008012998,"domain_scores_codex":[0.9967126,0.001421024,0.0002655217,0.000908003,0.0003650415,0.0003278539],"domain_scores_gemma":[0.9945512,0.001565734,0.001550568,0.001378929,0.000383032,0.0005704702],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01258954,0.003204906,0.9734436,0.0001941876,0.003139543,0.001258301,0.0008920768,0.0001851472,0.001345709,0.0002022644,0.0004181403,0.003126777],"study_design_scores_gemma":[0.002282937,0.007543017,0.9836595,0.00006370599,0.001782178,0.001719486,0.0007378599,0.0009588064,0.000261341,0.0003371793,0.0005924592,0.00006163718],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981171,0.0006892368,0.0004860832,0.00005183409,0.00002988334,0.0001125519,0.0002603969,0.000007661711,0.0002451964],"genre_scores_gemma":[0.9986871,0.0001796464,0.0004104268,0.00005352334,0.00003978742,0.0001250587,0.0002930381,0.000004915938,0.0002065144],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01064028,"threshold_uncertainty_score":0.02183205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04190005493730031,"score_gpt":0.3487818543871321,"score_spread":0.3068817994498318,"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."}}