{"id":"W4307493348","doi":"10.1093/cid/ciac850","title":"Differential Patterns by Area-Level Social Determinants of Health in Coronavirus Disease 2019 (COVID-19)–Related Mortality and Non–COVID-19 Mortality: A Population-Based Study of 11.8 Million People in Ontario, Canada","year":2022,"lang":"en","type":"article","venue":"Clinical Infectious Diseases","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Public Health Ontario; University Health Network; University of Toronto; Sunnybrook Health Science Centre; Casey House; Institute for Clinical Evaluative Sciences; St. Michael's Hospital","funders":"Department of Family and Community Medicine, University of Toronto; Canadian Institutes of Health Research; St. Michael’s Hospital Foundation","keywords":"Coronavirus disease 2019 (COVID-19); Medicine; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Coronavirus; Betacoronavirus; Disease; Population; Demography; Pandemic; Pneumonia; Virology; Gerontology; Environmental health; Outbreak; Infectious disease (medical specialty); Internal medicine","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":[0.0005140003,0.0002911376,0.0003006232,0.0007047672,0.001170667,0.0007395392,0.0009616361,0.0003645093,0.001614374],"category_scores_gemma":[0.001303979,0.0002776336,0.0007033424,0.001689824,0.0005921588,0.0003354454,0.0008483062,0.0005602821,0.0001881712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009675067,"about_ca_system_score_gemma":0.009169466,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9541662,"about_ca_topic_score_gemma":0.9759197,"domain_scores_codex":[0.9992628,0.00005852007,0.00006730764,0.0001513558,0.0002072762,0.000252814],"domain_scores_gemma":[0.9988181,0.00006585886,0.0004480064,0.00005814114,0.0003064967,0.0003033101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002003788,0.000007662539,0.9988812,0.00001143501,0.0000326536,0.00001524212,0.0001403309,0.00002986614,0.00004673421,0.00001912159,0.0003007418,0.00049508],"study_design_scores_gemma":[0.000002766621,0.000008948206,0.999253,0.00001207676,0.00001162893,0.00002275514,0.0002929169,0.0001184158,0.00001468021,0.00001171447,0.0002479877,0.000003121586],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921725,0.0004439167,0.0001168161,0.0002229988,0.000009288558,0.00003127146,0.006011729,0.000006887697,0.0009845431],"genre_scores_gemma":[0.9973442,0.0001966264,0.00008213392,0.00005511955,0.000005139522,0.00001811648,0.001704713,0.000002254879,0.0005917688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04583383,"threshold_uncertainty_score":0.09220743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1726310135502391,"score_gpt":0.4638661985114607,"score_spread":0.2912351849612216,"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."}}