{"id":"W3195988557","doi":"10.1212/wnl.96.15_supplement.1462","title":"Global impact of the COVID-19 pandemic on stroke care and intravenous thrombolysis (1462)","year":2021,"lang":"en","type":"article","venue":"Neurology","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Calgary; University of British Columbia; McMaster University; Sunnybrook Hospital; Centre hospitalier universitaire de Québec; University of Alberta","funders":"","keywords":"Thrombolysis; Pandemic; Medicine; Coronavirus disease 2019 (COVID-19); Stroke (engine); Emergency medicine; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Cardiology; Internal medicine; Virology; Myocardial infarction","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.001204981,0.0003203914,0.0003099804,0.0005198501,0.0002781373,0.0007987794,0.00032746,0.0005370718,0.002280765],"category_scores_gemma":[0.002822492,0.0001519646,0.0005250245,0.00108726,0.0004623032,0.0006780874,0.001094381,0.0006912421,0.0003102545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009557683,"about_ca_system_score_gemma":0.001230658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01571124,"about_ca_topic_score_gemma":0.01664841,"domain_scores_codex":[0.9990118,0.0003296821,0.0001029019,0.0001441483,0.0001462735,0.000265239],"domain_scores_gemma":[0.9973881,0.0002204036,0.001561624,0.0001242073,0.0003412213,0.0003644689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009880764,0.00003898104,0.9890741,0.0001203304,0.0001071829,0.0001268283,0.0001303274,0.0002528335,0.0001269234,0.000209954,0.002887406,0.006826312],"study_design_scores_gemma":[0.000005955108,0.00005289316,0.9967278,0.00009152333,0.00002676811,0.0002177294,0.0004097494,0.0001536748,0.00004716342,0.00009390593,0.00216724,0.000005488311],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9723168,0.004539931,0.0004465262,0.004793104,0.0002260454,0.00005900566,0.01173497,0.00003438085,0.005849262],"genre_scores_gemma":[0.9915839,0.001875886,0.0003721197,0.001360987,0.0001917689,0.00003908577,0.004303639,0.000009042462,0.0002636465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01571124,"threshold_uncertainty_score":0.03123957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05498563323080138,"score_gpt":0.3965756446618319,"score_spread":0.3415900114310306,"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."}}