{"id":"W4223544400","doi":"10.1093/jtm/taac041","title":"Outcomes of hospitalized COVID-19 patients in Canada: impact of ethnicity, migration status and country of birth","year":2022,"lang":"en","type":"article","venue":"Journal of Travel Medicine","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; McGill University; McGill University Health Centre; Centre intégré universitaire de santé et de services sociaux de l'Est-de-l'Île-de-Montréal; Université de Montréal; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Hôpital Maisonneuve-Rosemont; Jewish General Hospital","funders":"Jewish General Hospital; Gilead Sciences","keywords":"Medicine; Socioeconomic status; Ethnic group; Demography; Confidence interval; Hazard ratio; Immigration; Intensive care unit; Young adult; Pediatrics; Gerontology; Population; Internal medicine; Environmental health","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006907635,0.0000962691,0.0006017137,0.0003047407,0.00002848425,6.626003e-7,0.00009958146,0.00003504611,0.0005790643],"category_scores_gemma":[0.0003558097,0.00006885092,0.00005131405,0.0002641426,0.000076133,0.00004005462,0.00001208263,0.0002215755,4.000882e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004119339,"about_ca_system_score_gemma":0.001769113,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8598146,"about_ca_topic_score_gemma":0.5666634,"domain_scores_codex":[0.997876,0.0001984294,0.00110949,0.00008361392,0.0005618686,0.0001705378],"domain_scores_gemma":[0.9980235,0.000251384,0.001205921,0.0001128856,0.0001828806,0.0002234484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007139675,0.0002100017,0.9835132,0.0001255494,0.0001061261,0.0000103362,0.01170345,0.0001150044,0.00008196517,0.00005776539,0.002890391,0.000472278],"study_design_scores_gemma":[0.006628507,0.002297569,0.9863702,0.00003396408,0.00004214822,0.00001384383,0.004291675,0.00002155102,0.00001324643,0.0001387938,0.0001028477,0.00004564104],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973632,0.0009809142,0.00003979674,0.000805693,0.0003715249,0.0001845142,0.0001938869,8.627466e-7,0.00005968618],"genre_scores_gemma":[0.9992908,0.0002486335,0.00002664164,0.0003581941,0.00002350008,0.000001719398,0.00001929128,0.000007031787,0.00002419341],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2931512,"threshold_uncertainty_score":0.6340348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02392832844073638,"score_gpt":0.3537233309245091,"score_spread":0.3297950024837727,"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."}}