{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005084826,0.0004252596,0.0004898286,0.0007289606,0.001906793,0.001259763,0.0008927734,0.0004532,0.001862415],"category_scores_gemma":[0.00186078,0.0002247637,0.0005685694,0.00222528,0.0007078025,0.0004047262,0.001167377,0.0007336368,0.0001699351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01838403,"about_ca_system_score_gemma":0.01591436,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9560601,"about_ca_topic_score_gemma":0.9725322,"domain_scores_codex":[0.9993762,0.00005248423,0.00004583416,0.0001098046,0.0001240575,0.0002916217],"domain_scores_gemma":[0.9984661,0.00008347867,0.0004345804,0.0000383012,0.000399215,0.0005783008],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001036447,0.00001640792,0.9976259,0.00001929433,0.00004246084,0.0000672109,0.0001482003,0.00007890093,0.00004065948,0.00002871672,0.0005235037,0.001305173],"study_design_scores_gemma":[0.00001012901,0.00003424509,0.9984144,0.00003831682,0.00002447212,0.00007630573,0.000761156,0.0002961424,0.00002104598,0.00002711978,0.0002889834,0.000007645108],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948095,0.0006603004,0.00004412857,0.0003259028,0.00001103317,0.00002026762,0.003167387,0.000006733794,0.0009546764],"genre_scores_gemma":[0.997359,0.0003318875,0.00005815845,0.00009618051,0.000006932615,0.00001028054,0.00192032,0.000002733332,0.0002144538],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04393989,"threshold_uncertainty_score":0.1333861,"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."}}