{"id":"W4312180180","doi":"10.1093/ofid/ofac690","title":"Which Curve Are We Flattening? The Disproportionate Impact of COVID-19 Among Economically Marginalized Communities in Ontario, Canada, Was Unchanged From Wild-Type to Omicron","year":2022,"lang":"en","type":"article","venue":"Open Forum Infectious Diseases","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Public Health Ontario; University of Toronto; Sunnybrook Health Science Centre; St. Michael's Hospital","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Equity (law); Medicine; Demographic economics; Inequality; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Magnitude (astronomy); Demography; Public health; Socioeconomics; Virology; Economics; Political science; Sociology; Pathology","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":[0.003423555,0.0002986014,0.0006203407,0.001793286,0.003123972,0.003954953,0.001840378,0.0008999663,0.006627261],"category_scores_gemma":[0.01574576,0.0002761497,0.0006820971,0.004231091,0.003186716,0.00315647,0.002117292,0.001703688,0.0006803672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03395233,"about_ca_system_score_gemma":0.0534755,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9867027,"about_ca_topic_score_gemma":0.9890859,"domain_scores_codex":[0.9972425,0.0002194532,0.0001455305,0.00041358,0.0007913698,0.001187577],"domain_scores_gemma":[0.9915004,0.0007661153,0.001319189,0.0006122534,0.004070391,0.001731564],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003621294,0.00004341971,0.7986169,0.0004029525,0.0002107742,0.0002405997,0.009594603,0.0008040736,0.0006152208,0.01005123,0.04594864,0.1331093],"study_design_scores_gemma":[0.0000200295,0.00003926271,0.9536134,0.0005967596,0.00008704502,0.00007969628,0.01250988,0.0006036783,0.0002471317,0.003563146,0.02858648,0.00005350959],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.77257,0.01532632,0.003519723,0.1381261,0.0004478855,0.0001641437,0.02627451,0.000359419,0.04321201],"genre_scores_gemma":[0.9863992,0.002919379,0.001006938,0.004687661,0.00006762677,0.00002539155,0.002070288,0.00007113634,0.002752389],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03395233,"threshold_uncertainty_score":0.2463426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03584593173254643,"score_gpt":0.3264278544006134,"score_spread":0.290581922668067,"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."}}