{"id":"W4283390346","doi":"10.1038/s41598-022-13598-z","title":"Clinical risk, sociodemographic factors, and SARS-CoV-2 infection over time in Ontario, Canada","year":2022,"lang":"en","type":"article","venue":"Scientific Reports","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre; Canadian VIGOUR Centre; University of Alberta; St. Michael's Hospital; Institute for Clinical Evaluative Sciences; Women's College Hospital; University of Toronto; University Health Network","funders":"Canadian Institutes of Health Research; Institute of Circulatory and Respiratory Health; University of Toronto; Government of Ontario; CorHealth Ontario; Women's College Hospital; Alberta Health Services; Johns Hopkins University; Government of Canada; Heart and Stroke Foundation of Canada","keywords":"Medicine; Demography; Odds ratio; Population; Psychological intervention; Pandemic; Risk factor; Ethnic group; Cohort study; Cohort; Gerontology; Internal medicine; Coronavirus disease 2019 (COVID-19); Environmental health; Disease; Infectious disease (medical specialty)","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":[0.000655701,0.0003551375,0.0004539804,0.0009116777,0.003211196,0.00121947,0.001104704,0.0004360284,0.001872445],"category_scores_gemma":[0.001760719,0.0003898372,0.0007799389,0.002618527,0.0007538674,0.0004627211,0.00086407,0.0006840635,0.0001895361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03795468,"about_ca_system_score_gemma":0.05870321,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.997757,"about_ca_topic_score_gemma":0.9987206,"domain_scores_codex":[0.9991633,0.00006304757,0.00005058227,0.000143536,0.0002603041,0.0003193336],"domain_scores_gemma":[0.9977418,0.00008844274,0.0005129372,0.00006176301,0.0009634198,0.0006316017],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006855832,0.00003235179,0.995468,0.00003068935,0.00003810263,0.00005971921,0.0006457815,0.00009692729,0.0001237741,0.00005263657,0.0009583231,0.002425023],"study_design_scores_gemma":[0.00000923055,0.00002634954,0.9979374,0.00002987352,0.0000204845,0.00002871895,0.0008918007,0.0001875545,0.000031778,0.00001808033,0.000810876,0.00000788545],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903201,0.001212876,0.0001453178,0.0008614316,0.00002580572,0.0000759611,0.005003484,0.00001412016,0.002340765],"genre_scores_gemma":[0.9956486,0.000683892,0.0002142286,0.0002273615,0.00001042104,0.00003620216,0.00146488,0.00000509193,0.001709394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03795468,"threshold_uncertainty_score":0.2753818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05623571831816405,"score_gpt":0.3619592478932419,"score_spread":0.3057235295750778,"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."}}