{"id":"W4318476812","doi":"10.1017/cjn.2023.19","title":"Impact of the COVID-19 Pandemic on Stroke Subtype Presentation in Patients Without COVID-19 Infection","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Toronto Western Hospital; Hamilton Health Sciences; McMaster University; University of Toronto","funders":"Servier; Scheme for Promotion of Academic and Research Collaboration; China Scholarship Council; Hamilton Health Sciences","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Medicine; Presentation (obstetrics); Stroke (engine); Virology; Betacoronavirus; Coronavirus Infections; Pneumonia; Internal medicine; Outbreak; Infectious disease (medical specialty); Surgery; Disease","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005548671,0.0002297712,0.0002716885,0.0004292838,0.0007689115,0.000725402,0.0004456983,0.0003995666,0.0021594],"category_scores_gemma":[0.002664167,0.000229222,0.0004824435,0.0006543267,0.0003476937,0.0005260798,0.0004657391,0.0006311742,0.0002399528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001102438,"about_ca_system_score_gemma":0.001783039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05135312,"about_ca_topic_score_gemma":0.06237207,"domain_scores_codex":[0.9994012,0.00008604593,0.0000525294,0.0001675464,0.0001103621,0.0001823903],"domain_scores_gemma":[0.9985529,0.0001816535,0.0006420267,0.0001223073,0.0002021291,0.0002989144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000122837,0.00001813062,0.9990119,0.000003536994,0.00002487353,0.00006336348,0.00003327063,0.00002064011,0.00008150414,0.00001199612,0.00007889097,0.0005290687],"study_design_scores_gemma":[0.00000446592,0.00007088487,0.9994208,0.000004242652,0.00001247075,0.0001749704,0.0001355498,0.00006297517,0.0000344129,0.00001483924,0.00006114803,0.000003246165],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989026,0.00008463123,0.00002893364,0.00005024416,0.000005449265,0.000008606007,0.0003911974,0.000001391363,0.0005269328],"genre_scores_gemma":[0.9993679,0.00004703481,0.00003077604,0.00002829538,0.000009511133,0.000004769417,0.0004404777,0.000001184371,0.00007005808],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05135312,"threshold_uncertainty_score":0.1021084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.136466992684893,"score_gpt":0.4161532594074515,"score_spread":0.2796862667225585,"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."}}