{"id":"W4391611885","doi":"10.3389/fneur.2024.1351769","title":"Rapid outpatient transient ischemic attack clinic and stroke service activity during the SARS-CoV-2 pandemic: a multicenter time series analysis","year":2024,"lang":"en","type":"article","venue":"Frontiers in Neurology","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Australian Government","keywords":"Medicine; Thrombolysis; Stroke (engine); Pandemic; Coronavirus disease 2019 (COVID-19); Emergency medicine; Interrupted Time Series Analysis; Ischemic stroke; Internal medicine; Outpatient clinic; Incidence (geometry); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Pediatrics; Ischemia; Myocardial infarction","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.00655634,0.0004206261,0.0006663323,0.002391226,0.0002973274,0.0009577756,0.0007302872,0.0005899084,0.001575143],"category_scores_gemma":[0.01045166,0.0002878337,0.001672371,0.003335041,0.000353446,0.0007021266,0.0008089912,0.0006436813,0.0002464927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006285473,"about_ca_system_score_gemma":0.0007152669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00865417,"about_ca_topic_score_gemma":0.004166553,"domain_scores_codex":[0.9965819,0.001707117,0.0004044162,0.0005931348,0.0003674706,0.0003460645],"domain_scores_gemma":[0.9897938,0.003783127,0.00406764,0.00105373,0.0006540888,0.0006476425],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005845378,0.00009659944,0.9956136,0.00005088054,0.0007125857,0.0001670371,0.0001456602,0.0004551699,0.00009669391,0.00005412684,0.0003383925,0.00168476],"study_design_scores_gemma":[0.00006511879,0.0006395277,0.9931259,0.00002568585,0.0004214423,0.0003350288,0.0005251694,0.004207109,0.00009332258,0.00004731181,0.0004983479,0.00001607894],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977526,0.0002576974,0.0002792734,0.00005415815,0.000007795796,0.00004166834,0.001396996,0.000007734029,0.000202043],"genre_scores_gemma":[0.9968802,0.0001048237,0.0003036703,0.00001961304,0.00002246168,0.00006291778,0.002508269,0.000004703889,0.00009337861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00865417,"threshold_uncertainty_score":0.03467369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01958267133543399,"score_gpt":0.2769764991265627,"score_spread":0.2573938277911287,"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."}}