{"id":"W4309326807","doi":"10.1161/svin.122.000686","title":"Endovascular Thrombectomy Versus Best Medical Therapy for Late Presentation Acute Ischemic Stroke With Proximal Large‐Vessel Occlusion Selected on the Basis of Noncontrast Computed Tomography: A Retrospective Analysis of 2 Prospectively Defined Cohorts","year":2022,"lang":"en","type":"article","venue":"Stroke Vascular and Interventional Neurology","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Modified Rankin Scale; Thrombolysis; Odds ratio; Stroke (engine); Magnetic resonance imaging; Perfusion scanning; Radiology; Computed tomography angiography; Retrospective cohort study; Single Center; Angiography; Internal medicine; Cardiology; Perfusion; Ischemic stroke; Myocardial infarction; Ischemia","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001218174,0.0003692866,0.0006688913,0.0008562293,0.0005075076,0.0009551234,0.0005020629,0.0005225988,0.000585862],"category_scores_gemma":[0.003287386,0.0003882,0.000791435,0.001087325,0.0004531851,0.0006682545,0.0005946899,0.0005027796,0.0001548227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004324558,"about_ca_system_score_gemma":0.0005782124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002400816,"about_ca_topic_score_gemma":0.002366768,"domain_scores_codex":[0.998919,0.0002828042,0.0001721604,0.0003188314,0.0001575349,0.0001496519],"domain_scores_gemma":[0.9966174,0.0005596296,0.001952383,0.0002184069,0.000181411,0.0004708216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006065049,0.00004811616,0.9986182,0.000006868001,0.00008422224,0.0000922276,0.00004526431,0.00002466398,0.00007657349,0.000009683817,0.00003676174,0.0003509257],"study_design_scores_gemma":[0.00008282375,0.0006042701,0.9980844,0.000006896942,0.00007798563,0.0005367396,0.0001771482,0.0002239126,0.00007335273,0.00002578574,0.00009929177,0.000007358867],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995777,0.0001303063,0.00003805694,0.00001162228,0.000004088659,0.00001051806,0.000148919,8.750739e-7,0.00007792234],"genre_scores_gemma":[0.999378,0.0000750631,0.00003616063,0.00002437349,0.00001913524,0.00001585301,0.0004217748,0.000001171264,0.00002830031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002400816,"threshold_uncertainty_score":0.006442368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01005856931843366,"score_gpt":0.2604792553834241,"score_spread":0.2504206860649905,"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."}}