{"id":"W4397006074","doi":"10.1177/23969873241249406","title":"Safety and clinical outcomes of endovascular therapy versus medical management in late presentation of large ischemic stroke","year":2024,"lang":"en","type":"article","venue":"European Stroke Journal","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal","funders":"Schweizerische Akademie der Medizinischen Wissenschaften; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Amicus Therapeutics; National Science Foundation; Suomen Lääketieteen Säätiö; Joachim Herz Stiftung; CSL Behring; Schweizerische Herzstiftung; Schweizerischen Neurologischen Gesellschaft; Biogen; Sanofi; Stryker; Université de Lausanne; Pfizer","keywords":"Medicine; Modified Rankin Scale; Stroke (engine); Ischemic stroke; Endovascular treatment; Logistic regression; Medical therapy; Internal medicine; Surgery; Aneurysm; Ischemia","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":[0.004228561,0.0002744432,0.0006461322,0.0005193648,0.0002016324,0.0009359702,0.000317356,0.0004080035,0.001182098],"category_scores_gemma":[0.01038626,0.0001020216,0.0008322107,0.0007215174,0.0005040262,0.0005596808,0.0005147755,0.0004773119,0.0001338459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004085945,"about_ca_system_score_gemma":0.0005087701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003118936,"about_ca_topic_score_gemma":0.0004396646,"domain_scores_codex":[0.9975958,0.001422313,0.0002597822,0.0002629653,0.0002776779,0.0001814776],"domain_scores_gemma":[0.9882075,0.004218573,0.00611022,0.0003022902,0.0002960453,0.0008653144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.03203955,0.0006695447,0.9394755,0.0003023284,0.001840723,0.000130215,0.000130764,0.0005336152,0.0003892257,0.0001197224,0.0004888959,0.02387992],"study_design_scores_gemma":[0.0009729636,0.01065821,0.9846671,0.0001289722,0.0007206128,0.0003675778,0.000192479,0.001026162,0.0003615936,0.000492518,0.0003903986,0.00002154289],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976335,0.001481676,0.0001465881,0.0001730964,0.00001760246,0.00001184199,0.0001941348,0.00000355909,0.00033797],"genre_scores_gemma":[0.9993388,0.0002410356,0.00007324221,0.00005603665,0.00005753712,0.00001202439,0.0001826455,0.000001316725,0.00003734095],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004228561,"threshold_uncertainty_score":0.02236307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02743782218629773,"score_gpt":0.3414205851860472,"score_spread":0.3139827629997495,"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."}}