{"id":"W3214946257","doi":"10.1161/strokeaha.121.034331","title":"Thrombectomy With and Without Computed Tomography Perfusion Imaging in the Early Time Window: A Pooled Analysis of Patient-Level Data","year":2021,"lang":"en","type":"article","venue":"Stroke","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Calgary General Hospital; Foothills Medical Centre","funders":"National Institute for Health and Care Research","keywords":"Medicine; Modified Rankin Scale; Odds ratio; Perfusion scanning; Stroke (engine); Computed tomography angiography; Randomized controlled trial; Angiography; Radiology; Perfusion; Nuclear medicine; Internal medicine; Ischemia; Ischemic stroke","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":[0.01970132,0.001675331,0.008487102,0.002564653,0.0002395141,0.001975989,0.0009820837,0.001456191,0.001788297],"category_scores_gemma":[0.02872944,0.0006800421,0.02001631,0.0030575,0.0005214136,0.001075098,0.001137294,0.0009995131,0.0002005604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000605761,"about_ca_system_score_gemma":0.0007070747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00118026,"about_ca_topic_score_gemma":0.001204426,"domain_scores_codex":[0.9742038,0.01567641,0.00418626,0.00366472,0.001611559,0.0006571389],"domain_scores_gemma":[0.9712365,0.01708698,0.007474711,0.002920625,0.0009202574,0.0003610847],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.08746833,0.0001691958,0.07536928,0.01089442,0.810225,0.0002018515,0.00008594418,0.00173393,0.001088431,0.0001904287,0.0008047925,0.01176847],"study_design_scores_gemma":[0.01688366,0.006223561,0.1460374,0.000901113,0.8237061,0.0003370068,0.0001067236,0.002199853,0.0008506413,0.0007167256,0.001936499,0.0001006593],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7899302,0.1875169,0.007908387,0.0004717061,0.0006177841,0.0008293002,0.01135436,0.0001367318,0.001234614],"genre_scores_gemma":[0.9865817,0.007090737,0.001779043,0.0002391469,0.0002301,0.00072685,0.003119262,0.00003135055,0.000201768],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01970132,"threshold_uncertainty_score":0.1041918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01437277625627034,"score_gpt":0.2528030189983157,"score_spread":0.2384302427420454,"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."}}