{"id":"W4361293760","doi":"10.1136/jnis-2022-019537","title":"Effect of intravenous thrombolysis before endovascular therapy on outcomes in patients with large core infarct","year":2023,"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":"","funders":"Stryker; Medtronic","keywords":"Medicine; Propensity score matching; Thrombolysis; Modified Rankin Scale; Intracerebral hemorrhage; Cohort; Stroke (engine); Retrospective cohort study; Internal medicine; Surgery; Cohort study; Subarachnoid hemorrhage; Myocardial infarction; Ischemic stroke; 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":[0.001138636,0.000182318,0.0008285485,0.0007826853,0.00002230803,0.000007824076,0.0001110283,0.00004070915,0.0001340507],"category_scores_gemma":[0.0003313129,0.0001152521,0.0009319622,0.0004346909,0.00003959813,0.0000852523,0.00004760694,0.0002740594,0.00001073264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006731911,"about_ca_system_score_gemma":0.00003879149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005519935,"about_ca_topic_score_gemma":0.000001633564,"domain_scores_codex":[0.997787,0.0001298878,0.0007714993,0.0001569666,0.0009204597,0.0002341693],"domain_scores_gemma":[0.9985306,0.0005218352,0.0005422613,0.0002092196,0.0001213198,0.00007475441],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001978187,0.001013432,0.9867708,0.0001459763,0.0008819858,0.000474717,0.00004962074,0.00001999029,0.0001863205,0.00001079877,0.002904375,0.005563787],"study_design_scores_gemma":[0.004653594,0.004775398,0.9884683,0.0006446466,0.0001182197,0.00004053171,0.00001044625,0.00001340044,0.0007154193,0.00001321081,0.0004755135,0.00007133517],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989473,0.00004651307,0.00002066093,0.0003573437,0.0002566292,0.0002758133,0.00001889734,0.00001393515,0.00006295449],"genre_scores_gemma":[0.9995256,0.00004264754,0.00001954926,0.0001653185,0.00005619146,0.000004926392,0.00004163567,0.00002888568,0.0001152497],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005492452,"threshold_uncertainty_score":0.4699846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01821055783400206,"score_gpt":0.279225818512126,"score_spread":0.261015260678124,"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."}}