{"id":"W6977719091","doi":"10.6084/m9.figshare.c.6576241.v1","title":"Ethnic disparities in COVID-19 outcomes: a multinational cohort study of 20 million individuals from England and Canada","year":2023,"lang":"en","type":"other","venue":"Figshare","topic":"Edcuational Technology Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences","funders":"","keywords":"Ethnic group; Cohort study; Cohort; Inequality; Epidemiology; Primary care; Relative risk; Retrospective cohort study; Population","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":[0.001430175,0.0005737905,0.0009367561,0.00133045,0.003346569,0.001485429,0.001597036,0.0007243963,0.001960182],"category_scores_gemma":[0.002483592,0.0006175001,0.001198902,0.004503715,0.0008150506,0.0005413402,0.002027804,0.0008369249,0.0002783259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01352075,"about_ca_system_score_gemma":0.01469725,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9841275,"about_ca_topic_score_gemma":0.9883018,"domain_scores_codex":[0.9985412,0.0001734121,0.0001492086,0.0004103571,0.0002744989,0.0004514212],"domain_scores_gemma":[0.9971585,0.0001714592,0.0005787383,0.0003205339,0.00106076,0.0007098996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001325099,0.00002205952,0.9954433,0.00005722207,0.000212929,0.0001396195,0.0008695821,0.00007697934,0.0001479725,0.00009888256,0.001437091,0.001361829],"study_design_scores_gemma":[0.00002369369,0.00002018784,0.9972479,0.00007103015,0.0001023933,0.00009106207,0.0009440982,0.0001960102,0.00003890721,0.00003137548,0.001216679,0.00001667261],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9824294,0.001455878,0.0002617244,0.0004016482,0.00002597655,0.0001166019,0.01406286,0.00001376097,0.001232174],"genre_scores_gemma":[0.9930715,0.0006419824,0.0003509787,0.0002770324,0.0000128142,0.00007434357,0.004871503,0.00001077569,0.000689109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01587254,"threshold_uncertainty_score":0.09810042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05838216156901391,"score_gpt":0.3064704713740624,"score_spread":0.2480883098050485,"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."}}