{"id":"W4396881133","doi":"10.1016/j.lana.2024.100762","title":"COVID-19 hospitalization, mortality and premature mortality by a history of immigration in Ontario, Canada: a population-based cohort study","year":2024,"lang":"en","type":"article","venue":"The Lancet Regional Health - Americas","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; Hospital for Sick Children; Queen's University; Health Sciences Centre; Sunnybrook Health Science Centre; Institute for Clinical Evaluative Sciences; University of Toronto","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Immigration; Cohort; Demography; Cohort study; Medicine; Population; Pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Geography; Gerontology; Outbreak; Virology; Internal medicine; Disease; Sociology; Infectious disease (medical specialty)","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001171811,0.0001764082,0.0004879184,0.0000829013,0.0001090709,0.00001111357,0.0001392042,0.00007130615,0.0002697812],"category_scores_gemma":[0.0000651727,0.0001418107,0.00003688169,0.0003123065,0.0001070603,0.00006478454,0.0000112264,0.0003237745,0.000001509576],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003324656,"about_ca_system_score_gemma":0.007895421,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9977088,"about_ca_topic_score_gemma":0.9982883,"domain_scores_codex":[0.9975426,0.0005626373,0.0006631857,0.0004476137,0.0004564491,0.0003274949],"domain_scores_gemma":[0.9986359,0.0002646525,0.0003159144,0.0004584836,0.00005939991,0.0002656843],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007295785,0.0001468699,0.7968724,0.0002306019,0.00005176541,0.000006874373,0.011742,0.00007307239,2.619541e-7,0.001321596,0.1893856,0.00009598223],"study_design_scores_gemma":[0.0004540647,0.000149404,0.9660441,0.00003493478,0.00002917889,0.000005492066,0.0008495869,0.0004751854,6.065706e-8,0.000226834,0.03161642,0.0001146892],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9813607,0.005083543,0.0002934664,0.01090242,0.0004832145,0.001529425,0.00009755611,0.00005439658,0.000195269],"genre_scores_gemma":[0.9886631,0.00007181395,0.00002646082,0.009793798,0.00009197292,0.0002509117,0.0005569487,0.0000159358,0.0005291091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1691717,"threshold_uncertainty_score":0.9977289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0735242431109776,"score_gpt":0.3814797930200356,"score_spread":0.307955549909058,"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."}}