{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009384276,0.0005384278,0.0005421359,0.001118255,0.003615185,0.001318282,0.001509461,0.0005860011,0.001811767],"category_scores_gemma":[0.00184365,0.0005967163,0.001017557,0.003638192,0.0008208557,0.0005768388,0.001278282,0.0008330779,0.0002873128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02501497,"about_ca_system_score_gemma":0.02963615,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9922043,"about_ca_topic_score_gemma":0.995385,"domain_scores_codex":[0.9990047,0.00007267857,0.00007724127,0.0001964598,0.0002909833,0.0003580481],"domain_scores_gemma":[0.9980972,0.00006759828,0.0004997591,0.0001121664,0.0007279626,0.0004953076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000456911,0.00002251597,0.9976088,0.00002267891,0.00005978472,0.00005734644,0.0004188643,0.00003342083,0.00006604721,0.0000363664,0.0008186313,0.0008099019],"study_design_scores_gemma":[0.00001145368,0.00001864824,0.9983834,0.00003383155,0.00003239329,0.00004055426,0.000708771,0.0001428413,0.00001671571,0.00001519944,0.0005877339,0.000008503845],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9870167,0.0009359927,0.0001667176,0.0003917854,0.00002177591,0.0001173066,0.009747972,0.00001242036,0.001589402],"genre_scores_gemma":[0.9935687,0.0007530879,0.0003023768,0.0002072408,0.00001435478,0.00008853294,0.003731397,0.000007475181,0.001326823],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02501497,"threshold_uncertainty_score":0.1814972,"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."}}