{"id":"W3124931748","doi":"10.1136/neurintsurg-2020-017017","title":"Quantified health and cost effects of faster endovascular treatment for large vessel ischemic stroke patients in the Netherlands","year":2021,"lang":"en","type":"article","venue":"Journal of NeuroInterventional Surgery","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Radboud Universitair Medisch Centrum; Universitair Medisch Centrum Groningen; Universiteit Leiden; Leids Universitair Medisch Centrum; Maastricht Universitair Medisch Centrum; CARIM School for Cardiovascular Diseases, Universiteit Maastricht; Hartstichting; Universiteit Maastricht; Medisch Spectrum Twente; Radboud Universiteit; Universiteit van Amsterdam; Amsterdam University Medical Centers","keywords":"Medicine; Stroke (engine); Quality-adjusted life year; Modified Rankin Scale; Population; Emergency medicine; Endovascular treatment; Ischemic stroke; Surgery; Cost effectiveness; Internal medicine","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":[0.005215634,0.0004403684,0.0009804888,0.0006021062,0.0001516355,0.001379805,0.0009857997,0.0007503229,0.002914692],"category_scores_gemma":[0.02068609,0.0004478186,0.001846851,0.001033018,0.0002753888,0.0007608678,0.0006401556,0.0006708899,0.0002074123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004260917,"about_ca_system_score_gemma":0.002765321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06360798,"about_ca_topic_score_gemma":0.02588714,"domain_scores_codex":[0.9975163,0.001760353,0.0001314603,0.0002475883,0.0001623047,0.0001819616],"domain_scores_gemma":[0.991208,0.006704143,0.001274999,0.0002645288,0.000363442,0.0001849808],"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":[0.00179438,0.0002483981,0.05731893,0.0003681232,0.00138212,0.0002972474,0.0001479196,0.9201179,0.0001970762,0.004871493,0.001755855,0.01150067],"study_design_scores_gemma":[0.001112882,0.00108873,0.06325316,0.0003102428,0.001008199,0.0002869132,0.0003050254,0.9176937,0.0004986448,0.01016881,0.004169012,0.0001046597],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9733937,0.001809713,0.009021684,0.0009104433,0.00004559429,0.0002801814,0.01072472,0.00003515447,0.003778757],"genre_scores_gemma":[0.9943989,0.0003123792,0.001990897,0.00005906937,0.000007911628,0.0002303841,0.00247652,0.00001459544,0.0005093497],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06360798,"threshold_uncertainty_score":0.1264755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03392560069607332,"score_gpt":0.3000907944414583,"score_spread":0.266165193745385,"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."}}