{"id":"W4283368022","doi":"10.1017/cjn.2022.139","title":"P.037 COVID-19: Cardiac and Neurological Complications among Ontario Visible Minorities: Chinese and South Asians","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques","topic":"COVID-19 Clinical Research Studies","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Public Health; Systems, Applications & Products in Data Processing (Canada)","funders":"","keywords":"Medicine; Demographics; Chinese population; Coronavirus disease 2019 (COVID-19); Population; Demography; Pandemic; Pediatrics; Mortality rate; Internal medicine; Disease","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":[0.0002617874,0.0001905305,0.0001598322,0.0005550922,0.001060066,0.0005541162,0.000391356,0.0002254666,0.003580012],"category_scores_gemma":[0.0007153333,0.0001363878,0.0003711287,0.001021836,0.0004562763,0.0003317337,0.0005485116,0.0003169299,0.0002999261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002106245,"about_ca_system_score_gemma":0.003069065,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5123732,"about_ca_topic_score_gemma":0.5113986,"domain_scores_codex":[0.9997781,0.00001591061,0.0000169797,0.00003773973,0.00007104512,0.00008034031],"domain_scores_gemma":[0.999374,0.00002722619,0.0002982199,0.0000251754,0.000106372,0.0001690489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000201738,0.000005265064,0.9987209,0.000009772825,0.00001015164,0.00004760322,0.000177811,0.000005805207,0.000101442,0.00001562509,0.0002116406,0.0006737227],"study_design_scores_gemma":[0.000002061034,0.0000125949,0.9990386,0.00000939746,0.000009315174,0.00007881788,0.0004947937,0.00003948036,0.00003022253,0.00001082771,0.0002722942,0.000001703821],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950411,0.0001971589,0.00005801089,0.0003135088,0.00001102601,0.0000191153,0.001568987,0.000004388664,0.002786788],"genre_scores_gemma":[0.9987652,0.00009255204,0.00005426086,0.0001049984,0.00001018403,0.00001128149,0.0004609392,0.000002409314,0.0004981988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4876268,"threshold_uncertainty_score":0.980997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05968482570285842,"score_gpt":0.356082537683143,"score_spread":0.2963977119802846,"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."}}