{"id":"W4210801090","doi":"10.20944/preprints202201.0388.v1","title":"Air Pollution and Emergency Department Visits for Infectious Diseases in Toronto, Canada","year":2022,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Health Canada","funders":"","keywords":"Interquartile range; Emergency department; Air pollution; Air quality index; Environmental health; Ozone; Environmental science; Names of the days of the week; Poisson regression; Medicine; Air pollutants; Criteria air contaminants; Air pollutant concentrations; Relative risk; Particulates; Pollutant; Meteorology; Confidence interval; Geography; 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":[0.000579546,0.0005114877,0.0005113522,0.001330021,0.002116144,0.001549122,0.001195415,0.0004157666,0.005155824],"category_scores_gemma":[0.002705595,0.0003968272,0.0009355369,0.004640161,0.0005802416,0.000468751,0.001122481,0.0008882508,0.0003285805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04029034,"about_ca_system_score_gemma":0.04547645,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9966461,"about_ca_topic_score_gemma":0.9972761,"domain_scores_codex":[0.9988592,0.00009767799,0.0001086524,0.0001855566,0.0004020334,0.0003470533],"domain_scores_gemma":[0.9973334,0.0001774788,0.0006662246,0.00007271824,0.0009661061,0.0007839967],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009123612,0.00003037249,0.9903656,0.0001563563,0.0001543908,0.0001953828,0.0006540995,0.0003114046,0.0001333354,0.0003035502,0.003483107,0.004121139],"study_design_scores_gemma":[0.00000772973,0.00001666213,0.9971837,0.00009432361,0.00005582991,0.00008559896,0.0007620706,0.0003435509,0.00002990019,0.00003674676,0.001371556,0.00001220705],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9473103,0.01344562,0.000481903,0.002194808,0.000133838,0.000105514,0.02529754,0.00005743239,0.010973],"genre_scores_gemma":[0.989692,0.002956006,0.0002982372,0.0001901028,0.00003032296,0.00002181795,0.004269548,0.00001153381,0.00253049],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04029034,"threshold_uncertainty_score":0.2923282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06368588748483872,"score_gpt":0.3587635138566631,"score_spread":0.2950776263718244,"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."}}