{"id":"W3159304723","doi":"10.1101/2021.04.28.21256052","title":"Clinical Risk, Sociodemographic Factors, and SARS-CoV-2 Infection Over Time in Ontario, Canada","year":2021,"lang":"en","type":"preprint","venue":"medRxiv","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":2,"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; Alberta Health Services; Women's College Hospital; Government of Ontario; Heart and Stroke Foundation of Canada","keywords":"Medicine; Demography; Pandemic; Odds ratio; Psychological intervention; Population; Cohort; Public health; Cohort study; Risk factor; Gerontology; Environmental health; Coronavirus disease 2019 (COVID-19); Internal medicine; 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":[0.0005081875,0.0003112615,0.000364437,0.0008265104,0.002794002,0.0009555015,0.0009890618,0.0003896336,0.00245284],"category_scores_gemma":[0.001539933,0.0003392945,0.0006116174,0.002361581,0.0006960406,0.0003484494,0.0007621868,0.000563757,0.000201417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02741229,"about_ca_system_score_gemma":0.04408313,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9969817,"about_ca_topic_score_gemma":0.9979081,"domain_scores_codex":[0.999301,0.00005115956,0.00004666445,0.0001261181,0.0002133263,0.0002617168],"domain_scores_gemma":[0.9976713,0.0001046667,0.0005023176,0.00006026187,0.0009923548,0.0006690281],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005682799,0.00002152669,0.9964898,0.00002788017,0.00002807353,0.00006727376,0.0004532398,0.00007116851,0.00009731433,0.00004008612,0.000842346,0.001804495],"study_design_scores_gemma":[0.000009101593,0.00001935009,0.9981205,0.00002997421,0.00001889503,0.00003744647,0.0008175903,0.0001882527,0.0000297865,0.00001772049,0.0007045215,0.000006804976],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904053,0.001117527,0.0001304299,0.0006998904,0.0000245766,0.00006505277,0.005101763,0.00001085796,0.002444671],"genre_scores_gemma":[0.9965762,0.0005533644,0.0001437758,0.0001253875,0.000008433599,0.00002554635,0.001172622,0.000003352978,0.001391162],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02741229,"threshold_uncertainty_score":0.198891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07979408664536182,"score_gpt":0.3823435250723248,"score_spread":0.302549438426963,"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."}}