{"id":"W3081084854","doi":"10.1016/j.envres.2020.110052","title":"An ecological analysis of long-term exposure to PM2.5 and incidence of COVID-19 in Canadian health regions","year":2020,"lang":"en","type":"article","venue":"Environmental Research","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; SickKids Foundation; University of Toronto; Public Health Ontario; Hospital for Sick Children; University of Ottawa; Health Canada","funders":"","keywords":"Confidence interval; Demography; Environmental health; Population; Incidence (geometry); Geography; Ecological study; Poisson regression; Medicine; Mathematics","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":[0.001812721,0.0007866814,0.0007637816,0.002572414,0.003052642,0.001451893,0.002627672,0.0005638887,0.001864768],"category_scores_gemma":[0.003934366,0.0006669708,0.002093538,0.0068437,0.0009405549,0.0004167175,0.001704512,0.000872953,0.0002059037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03657541,"about_ca_system_score_gemma":0.04361683,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9970763,"about_ca_topic_score_gemma":0.9968329,"domain_scores_codex":[0.9980597,0.000228581,0.0001217943,0.0004573155,0.0005391508,0.0005933539],"domain_scores_gemma":[0.9965774,0.0002594091,0.0005730887,0.0001865899,0.001682178,0.0007211667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001771982,0.00004152304,0.9910519,0.0001490352,0.0003605649,0.0001174626,0.0008510713,0.0005574148,0.0002872268,0.0003160297,0.001681078,0.004409488],"study_design_scores_gemma":[0.000006943866,0.00001969938,0.9977723,0.00003433396,0.00006586674,0.00004912534,0.0006147536,0.0006606576,0.00003234606,0.00003043712,0.0006961278,0.00001745152],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9780647,0.002385254,0.0005149068,0.000482154,0.00002664443,0.0001164912,0.01586899,0.00003344208,0.002507456],"genre_scores_gemma":[0.9941901,0.0006133168,0.0005643621,0.00008575227,0.000008850949,0.00003762193,0.003966026,0.00001000618,0.0005239695],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03657541,"threshold_uncertainty_score":0.2653744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3961216860431675,"score_gpt":0.5176457250610731,"score_spread":0.1215240390179056,"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."}}