{"id":"W4206449276","doi":"10.1017/cjn.2021.360","title":"P.081 Epidemiology of Neurological and Cardiac Complications of COVID-19 among Ontario Visible Minorities: A Retrospective Study of Chinese and South Asian Canadians","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques","topic":"Long-Term Effects of COVID-19","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Public Health; Systems, Applications & Products in Data Processing (Canada)","funders":"","keywords":"Medicine; Epidemiology; Population; Chinese population; Coronavirus disease 2019 (COVID-19); Retrospective cohort study; Complication; Mortality rate; Pediatrics; Demography; Internal medicine; Disease; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0004213537,0.000354535,0.0003258487,0.001574665,0.002348768,0.0007953099,0.0008442891,0.0003552438,0.001861158],"category_scores_gemma":[0.00098673,0.0003161215,0.0006804194,0.002911482,0.0006313701,0.0003208854,0.0008820574,0.0003809958,0.0002203944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009200334,"about_ca_system_score_gemma":0.01198819,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9574366,"about_ca_topic_score_gemma":0.9618331,"domain_scores_codex":[0.9994093,0.0000245653,0.00005147589,0.0001032778,0.0002299216,0.0001814135],"domain_scores_gemma":[0.9986901,0.00004487201,0.0004341285,0.00005978186,0.0004711733,0.0002998375],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002042592,0.000005559597,0.9989176,0.00001925773,0.00002276183,0.00003846559,0.0001834025,0.00001046317,0.00007088621,0.00001466562,0.0002485277,0.0004480585],"study_design_scores_gemma":[0.000002030965,0.00001564931,0.9989828,0.00001352768,0.00001349356,0.00006025329,0.000561102,0.00003750557,0.00002016495,0.000004396958,0.0002856978,0.000003240082],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922284,0.0004127383,0.00007280186,0.0001265339,0.000007869539,0.00006352465,0.004894421,0.000007857571,0.002185773],"genre_scores_gemma":[0.9976527,0.0002133304,0.00009530077,0.00009372435,0.000006094908,0.00002902869,0.001498535,0.00000309575,0.0004081436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04256344,"threshold_uncertainty_score":0.08562815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03504409852803986,"score_gpt":0.3149493411132408,"score_spread":0.2799052425852009,"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."}}