{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002882881,0.0001861592,0.0005516688,0.0003141394,0.00002898486,0.0000244188,0.0002200035,0.00006326343,0.0003289019],"category_scores_gemma":[0.000200045,0.0001431773,0.0003341173,0.0001545806,0.0001198674,0.0001072194,0.0002376289,0.0006941917,0.00001512183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005700613,"about_ca_system_score_gemma":0.00005284696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004896219,"about_ca_topic_score_gemma":0.000002194063,"domain_scores_codex":[0.9970781,0.0002960456,0.001141094,0.000282444,0.0009150914,0.0002872459],"domain_scores_gemma":[0.9990126,0.0002289762,0.0002174145,0.0002923624,0.00005899213,0.0001896874],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007643629,0.001490005,0.5257029,0.0008346539,0.01611794,0.007387261,0.001482461,0.00004451483,0.004844485,0.0007839872,0.03886877,0.3947994],"study_design_scores_gemma":[0.03343887,0.0009181948,0.7243919,0.0007203768,0.0008475673,0.0001465855,0.0008816961,0.001416724,0.001324135,0.000004916002,0.235654,0.0002550584],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9089109,0.002391654,0.001788645,0.0009183597,0.0006874307,0.0003498559,0.00002827998,0.00003286834,0.08489199],"genre_scores_gemma":[0.9777399,0.01587,0.00209872,0.0001826523,0.0003375265,0.000001760409,0.00001378616,0.0000483539,0.00370732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3945444,"threshold_uncertainty_score":0.5838599,"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."}}