{"id":"W3201075194","doi":"10.1212/wnl.96.15_supplement.4673","title":"Quantifying Changes in Acute Stroke Presentations and Associated Workflow During the COVID-19 Pandemic: A Population-based Study (4673)","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":"Alberta Health Services; University of Alberta; University of Calgary","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Workflow; Population; Stroke (engine); Medicine; Acute stroke; Virology; Medical emergency; Computer science; Environmental health; Engineering; Psychiatry; Disease; Internal medicine; Infectious disease (medical specialty); Emergency department","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":[0.004788563,0.000601963,0.000636611,0.002306021,0.0008642973,0.001865904,0.000979193,0.001103111,0.002835582],"category_scores_gemma":[0.01385516,0.0004943176,0.002506489,0.003995296,0.0003460597,0.002153719,0.001734283,0.001539205,0.001111212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00217347,"about_ca_system_score_gemma":0.003676858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05006254,"about_ca_topic_score_gemma":0.06869653,"domain_scores_codex":[0.996663,0.001337086,0.0004156328,0.000663006,0.0004249969,0.0004962923],"domain_scores_gemma":[0.9925033,0.001369697,0.002626255,0.0009731435,0.001658709,0.000868933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003209454,0.0003433643,0.9864922,0.0001502197,0.0007215819,0.00004454116,0.0005097368,0.0003415676,0.0001253338,0.0001021558,0.002626788,0.008221477],"study_design_scores_gemma":[0.00004986069,0.0005306618,0.994085,0.0001102755,0.000307864,0.0001040723,0.001341337,0.001076898,0.0001293505,0.0001645225,0.002072514,0.0000276238],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9758627,0.0007088466,0.002370622,0.000766048,0.00009233449,0.0003572477,0.01685577,0.00007507371,0.002911196],"genre_scores_gemma":[0.9817382,0.0006115189,0.004073747,0.0008709449,0.0001080369,0.0008725211,0.01082284,0.00004572617,0.0008565439],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05006254,"threshold_uncertainty_score":0.09954226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1557193552249808,"score_gpt":0.4352384332302938,"score_spread":0.2795190780053129,"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."}}