{"id":"W4386026584","doi":"10.1136/jnis-2023-esmint.28","title":"O28/275  Cost utility analysis of bridging intravenous thrombolysis with endovascular thrombectomy","year":2023,"lang":"en","type":"article","venue":"Abstracts","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Thrombolysis; Medicine; Cost–utility analysis; Quality-adjusted life year; Bridging (networking); Cost effectiveness; Stroke (engine); Marginal cost; Total cost; Emergency medicine; Internal medicine; Computer science; Myocardial infarction","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":[0.005278156,0.0009074883,0.001342236,0.001551758,0.0002529033,0.001452783,0.001180215,0.000862148,0.008236518],"category_scores_gemma":[0.01434821,0.0004596475,0.002865895,0.001256245,0.0005037097,0.001080696,0.0009626908,0.001049349,0.0003378201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006185054,"about_ca_system_score_gemma":0.00411822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02821168,"about_ca_topic_score_gemma":0.009367927,"domain_scores_codex":[0.997524,0.001761941,0.00006571748,0.0001560341,0.0002360948,0.0002562223],"domain_scores_gemma":[0.9941103,0.004815262,0.0003534195,0.0001380909,0.000410073,0.0001729434],"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":[0.004499922,0.0006028996,0.01150075,0.0006977057,0.0008960953,0.0002552989,0.0000386635,0.9371505,0.0005155605,0.01372744,0.003691025,0.02642419],"study_design_scores_gemma":[0.0008353684,0.001105264,0.008049684,0.0002157824,0.0005697016,0.0001090482,0.00009328014,0.9804901,0.0003839053,0.006549438,0.001561551,0.00003684739],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9005893,0.006024441,0.05123342,0.003441091,0.0002161976,0.001977285,0.009211024,0.0001438045,0.02716344],"genre_scores_gemma":[0.9907516,0.0005442227,0.00534914,0.0001444408,0.00003433173,0.0003285281,0.001456616,0.00001700367,0.001374071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02821168,"threshold_uncertainty_score":0.05609494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2433886952145161,"score_gpt":0.394190109971967,"score_spread":0.1508014147574509,"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."}}