{"id":"W4387296285","doi":"10.1148/radiol.223320","title":"Cost-effectiveness of Endovascular Treatment for Acute Stroke with Large Infarct: A United States Perspective","year":2023,"lang":"en","type":"article","venue":"Radiology","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Foothills Medical Centre; University of Calgary","funders":"","keywords":"Medicine; Stroke (engine); Randomized controlled trial; Quality-adjusted life year; Emergency medicine; Confidence interval; Cost-effectiveness analysis; Cost effectiveness; Economic evaluation; Modified Rankin Scale; Physical therapy; Surgery; Internal medicine; Ischemic stroke; Ischemia","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":[0.003319778,0.0007448785,0.001075356,0.001717533,0.000242062,0.002106966,0.0005416434,0.001355377,0.004719466],"category_scores_gemma":[0.01005548,0.0003211933,0.002338553,0.00167063,0.0004292594,0.001200152,0.0006791073,0.001407942,0.0002064528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003415458,"about_ca_system_score_gemma":0.002243613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01224933,"about_ca_topic_score_gemma":0.01154051,"domain_scores_codex":[0.9961288,0.00306127,0.0001542138,0.0002003918,0.0002509149,0.0002043982],"domain_scores_gemma":[0.9961325,0.00261221,0.0006197552,0.00007363851,0.0003211478,0.00024081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01452547,0.001753208,0.1666533,0.004743506,0.02007053,0.0008811299,0.0003026736,0.4882162,0.001542042,0.06686988,0.04088116,0.1935609],"study_design_scores_gemma":[0.005163591,0.00566896,0.2039059,0.007410427,0.02362801,0.002190961,0.001710004,0.5796068,0.001784854,0.1130124,0.05549206,0.0004261649],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6942797,0.1434846,0.01915058,0.056433,0.001169947,0.0006703868,0.03261728,0.0001280405,0.05206655],"genre_scores_gemma":[0.9846742,0.008956974,0.00195663,0.001664708,0.0001951167,0.0001456255,0.001845406,0.00001237134,0.0005489568],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01224933,"threshold_uncertainty_score":0.02478093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02895912707901382,"score_gpt":0.3333749499748809,"score_spread":0.304415822895867,"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."}}