{"id":"W3207858151","doi":"10.1111/rssc.12525","title":"Daily Mortality/Morbidity and Air Quality: Using Multivariate Time Series with Seasonally Varying Covariances","year":2021,"lang":"en","type":"article","venue":"Journal of the Royal Statistical Society Series C (Applied Statistics)","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Health Canada; University of Toronto; Centre for Global Health Research; St. Michael's Hospital","funders":"Natural Sciences and Engineering Research Council of Canada; Health Canada; Natural Resources Canada; Environment and Climate Change Canada","keywords":"Multivariate statistics; Nitrogen dioxide; Environmental science; Ozone; Logistic regression; Particulates; Pollutant; Environmental health; Medicine; Demography; Statistics; Atmospheric sciences; Meteorology; Mathematics; Geography; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.005841915,0.0007564159,0.0006874438,0.001136851,0.000375919,0.001050507,0.0009904957,0.0006923978,0.0008938612],"category_scores_gemma":[0.01240703,0.0003755879,0.001737594,0.001495256,0.0008840633,0.0007823022,0.0007570819,0.0009772722,0.0001076941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001420877,"about_ca_system_score_gemma":0.001578944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1638336,"about_ca_topic_score_gemma":0.09599255,"domain_scores_codex":[0.9980741,0.001195465,0.00005820758,0.0002971271,0.0002098572,0.0001653047],"domain_scores_gemma":[0.9922937,0.005055427,0.001357478,0.0005958459,0.0004832784,0.000214148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004869953,0.0002821183,0.3694521,0.00006725226,0.001344946,0.0002338199,0.0001774029,0.5894829,0.001302051,0.007195036,0.0006194903,0.02935587],"study_design_scores_gemma":[0.00001976908,0.00008022424,0.04548191,0.00001044709,0.000132362,0.00002703908,0.00004933416,0.9514218,0.0001863676,0.002295394,0.0002708875,0.00002445556],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9137676,0.0005057778,0.08390702,0.000496725,0.00004396371,0.00003741435,0.0004968219,0.00012139,0.0006231335],"genre_scores_gemma":[0.9917604,0.0002045519,0.007068691,0.00003041358,0.0000427405,0.00001819691,0.000376202,0.00001512094,0.0004836425],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1638336,"threshold_uncertainty_score":0.3257599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03758242231409545,"score_gpt":0.3088720866624708,"score_spread":0.2712896643483753,"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."}}