{"id":"W4225843829","doi":"10.1161/strokeaha.121.038250","title":"International Prevalence and Mechanisms of SARS-CoV-2 in Childhood Arterial Ischemic Stroke During the COVID-19 Pandemic","year":2022,"lang":"en","type":"article","venue":"Stroke","topic":"Kawasaki Disease and Coronary Complications","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; Hospital for Sick Children","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Neurological Disorders and Stroke","keywords":"Medicine; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Pandemic; Stroke (engine); Coronavirus disease 2019 (COVID-19); Pediatric stroke; Pediatrics; 2019-20 coronavirus outbreak; Cohort; Emergency medicine; Internal medicine; Ischemic stroke; Disease; Ischemia; Virology; Infectious disease (medical specialty)","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":[0.001058101,0.0002626424,0.0001753056,0.001595817,0.0002897401,0.0007652926,0.0003697893,0.0003733159,0.001495122],"category_scores_gemma":[0.001928871,0.0002333596,0.000315516,0.001317974,0.0005315152,0.000609467,0.0006523687,0.00037264,0.0002096169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005549706,"about_ca_system_score_gemma":0.0002888707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009375263,"about_ca_topic_score_gemma":0.008088326,"domain_scores_codex":[0.999546,0.0001111384,0.00005454873,0.0001110534,0.0000595228,0.0001176765],"domain_scores_gemma":[0.9985342,0.0001216472,0.0009174251,0.0000774255,0.0001891519,0.0001601614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002438877,0.000005836938,0.9987321,0.000003912432,0.00001185291,0.00003169921,0.00009209959,0.00003828365,0.00005800411,0.00003058512,0.00008547578,0.0008856147],"study_design_scores_gemma":[0.000001383185,0.00001731408,0.9993155,0.000007147122,0.00000480484,0.0001539884,0.0002556357,0.00008117352,0.0000341401,0.00002055804,0.0001068801,0.000001382443],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978147,0.0006612474,0.00007813255,0.0001272879,0.000007403761,0.000008386664,0.0003798343,0.000004316488,0.0009187679],"genre_scores_gemma":[0.9989862,0.0004537131,0.00005658672,0.00002314898,0.00001046721,0.000005583306,0.0004094046,0.000001513106,0.00005333802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009375263,"threshold_uncertainty_score":0.01864141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02805065990529391,"score_gpt":0.2997009672641782,"score_spread":0.2716503073588842,"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."}}