{"id":"W4407666347","doi":"10.57264/cer-2024-0216","title":"The economic impact of stent retriever selection for acute ischemic stroke: a cost analysis of MASTRO I from the healthcare system perspective of the United States, Canada and eight European countries","year":2025,"lang":"en","type":"article","venue":"Journal of Comparative Effectiveness Research","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Modified Rankin Scale; Solitaire Cryptographic Algorithm; Stroke (engine); Revascularization; Stent; Health care; Emergency medicine; Cohort; Surgery; Demography; Ischemic stroke; Internal medicine; Ischemia","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002924837,0.0001644358,0.0008587394,0.0003886494,0.0002473365,0.00002886421,0.0003700235,0.00003781093,0.000005021316],"category_scores_gemma":[0.0002179066,0.00008013919,0.0003062081,0.001198505,0.0004428777,0.00005977493,0.0001540932,0.0005125023,9.844573e-8],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004122494,"about_ca_system_score_gemma":0.002380644,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1564458,"about_ca_topic_score_gemma":0.02680184,"domain_scores_codex":[0.9963668,0.001886755,0.0006459971,0.0001902691,0.0006563133,0.0002538797],"domain_scores_gemma":[0.9910826,0.004732223,0.0007773544,0.0003164125,0.00301826,0.00007314977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.03829094,0.0001898227,0.7637053,0.001000426,0.09772202,0.00001446629,0.005882464,0.02877029,0.02415639,0.002297585,0.03745704,0.0005132983],"study_design_scores_gemma":[0.003650384,0.001529381,0.8842081,0.001170501,0.003732803,0.00001361234,0.02317593,0.02733332,0.05288377,0.00002324345,0.002172194,0.0001067337],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935578,0.001127068,0.001908925,0.0008015193,0.00009401947,0.00147612,0.0007708885,0.000001998739,0.0002616378],"genre_scores_gemma":[0.9995572,0.0002152946,0.00002959823,0.00001347857,0.00004232469,0.00002243636,0.00002121602,0.00001029042,0.00008818848],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1296439,"threshold_uncertainty_score":0.9997005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03197199617681526,"score_gpt":0.390668308192948,"score_spread":0.3586963120161327,"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."}}