{"id":"W3111897907","doi":"10.1101/2020.12.15.20248199","title":"Patient characteristics, clinical care, resource use, and outcomes associated with hospitalization for COVID-19 in the Toronto area","year":2020,"lang":"en","type":"preprint","venue":"medRxiv","topic":"COVID-19 Clinical Research Studies","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vector Institute; Trillium Health Centre; Health Sciences Centre; Sunnybrook Health Science Centre; University of Toronto; Toronto General Hospital; University Health Network; Women's College Hospital","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; University of Toronto","keywords":"Medicine; Comorbidity; Coronavirus disease 2019 (COVID-19); Emergency medicine; Residence; Pediatrics; Internal medicine; Disease; Demography; 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":[0.0003177171,0.0002490995,0.0002652702,0.0007559824,0.0009944399,0.0009063339,0.0004928523,0.0002836834,0.002223149],"category_scores_gemma":[0.002012152,0.0001728626,0.0004182975,0.002117453,0.000472024,0.0002759192,0.000666237,0.000449442,0.00009835774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009253327,"about_ca_system_score_gemma":0.007044424,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8965968,"about_ca_topic_score_gemma":0.9286532,"domain_scores_codex":[0.9993653,0.00007847264,0.00008125982,0.0001042102,0.0001603115,0.0002105138],"domain_scores_gemma":[0.9971564,0.0001855102,0.001078131,0.00007140511,0.0006015609,0.0009069825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002293284,0.000008063806,0.9987608,0.00001607825,0.0000388315,0.00004682905,0.000104305,0.00007271552,0.00004507807,0.00001964031,0.0003743786,0.0004904672],"study_design_scores_gemma":[0.000001843871,0.000009818362,0.9992865,0.00001513322,0.00001253937,0.00003943479,0.0003097394,0.0001458406,0.00001236256,0.000007042227,0.0001569906,0.000002710129],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937634,0.0005755269,0.00006086264,0.0003088146,0.00001053564,0.00001749909,0.004242795,0.000006995062,0.00101365],"genre_scores_gemma":[0.9984508,0.000150895,0.00004198764,0.00003545441,0.000008742703,0.000005980941,0.001158345,0.000001127473,0.0001467603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1034032,"threshold_uncertainty_score":0.2080243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1226885028768824,"score_gpt":0.433712065961013,"score_spread":0.3110235630841306,"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."}}