{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000654484,0.0002693846,0.000873832,0.0005440141,0.0001992293,0.00001084301,0.0002342052,0.0001006952,0.0003298431],"category_scores_gemma":[0.0001502043,0.0001971433,0.0008676592,0.00100803,0.0002484325,0.00005844634,0.000228953,0.0004656083,2.638184e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005867231,"about_ca_system_score_gemma":0.0001060374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000872883,"about_ca_topic_score_gemma":0.00004811639,"domain_scores_codex":[0.9971656,0.00028344,0.0005272721,0.0006141736,0.001077485,0.0003320785],"domain_scores_gemma":[0.9983948,0.0002986124,0.0004015229,0.0003616496,0.000458204,0.00008519227],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.04414115,0.006697908,0.755577,0.0003155342,0.1301946,0.0001630675,0.0006818992,0.0007304156,0.0519031,0.003829633,0.005108,0.0006576644],"study_design_scores_gemma":[0.02253578,0.01846029,0.9155167,0.00006211719,0.007433151,0.00005958108,0.0001433165,0.0167966,0.01732534,0.00002295534,0.001400227,0.0002439568],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898824,0.000316416,0.005062789,0.001693028,0.00009817482,0.001935919,0.0007149001,0.00003430827,0.0002620397],"genre_scores_gemma":[0.9981439,0.00009429222,0.0004446498,0.0002745531,0.00004372556,0.0003855538,0.0005219385,0.00002759064,0.00006376968],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1599397,"threshold_uncertainty_score":0.8039269,"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."}}