{"id":"W2980284384","doi":"10.1017/cjn.2019.308","title":"A Cost-Utility Analysis of Endovascular Thrombectomy in a Real-World Setting","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen Elizabeth II Health Sciences Centre; Dalhousie University; Nova Scotia Health Authority","funders":"","keywords":"Medicine; Confidence interval; Occlusion; Tissue plasminogen activator; Stroke (engine); Cost effectiveness; Randomized controlled trial; Quality-adjusted life year; Internal medicine; Emergency medicine; Surgery","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.009897452,0.001409354,0.001548055,0.002753244,0.0003038931,0.002053304,0.001288286,0.001298864,0.00381954],"category_scores_gemma":[0.03779515,0.0005724233,0.003811784,0.002340605,0.000866045,0.001758444,0.001137525,0.001557891,0.000194722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004698843,"about_ca_system_score_gemma":0.001562645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005753683,"about_ca_topic_score_gemma":0.002358855,"domain_scores_codex":[0.9912083,0.007001974,0.000339191,0.0005503711,0.0005607452,0.0003392599],"domain_scores_gemma":[0.9755176,0.02078789,0.002019052,0.0004514426,0.0007609672,0.0004629344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.01365683,0.002009775,0.09367795,0.002391449,0.01343525,0.00105861,0.0001912928,0.8219411,0.001018814,0.01073855,0.002742843,0.0371375],"study_design_scores_gemma":[0.002213167,0.006423225,0.09007324,0.0007318075,0.006352632,0.001302761,0.0004673825,0.8787522,0.0007024216,0.009993774,0.00273919,0.0002481682],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9576327,0.009468224,0.02239254,0.001797291,0.0001479557,0.0009719476,0.003848848,0.00006037387,0.00368005],"genre_scores_gemma":[0.9945908,0.0006831273,0.003225015,0.0001016434,0.00003212754,0.0002417617,0.0008858258,0.000007163463,0.0002325831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009897452,"threshold_uncertainty_score":0.05234337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04167688696931873,"score_gpt":0.3037901809016618,"score_spread":0.2621132939323431,"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."}}