{"id":"W4391665100","doi":"10.5853/jos.2023.02292","title":"Thrombectomy in Stroke Patients With Low Alberta Stroke Program Early Computed Tomography Score: Is Modified Thrombolysis in Cerebral Infarction (mTICI) 2c/3 Superior to mTICI 2b?","year":2024,"lang":"en","type":"article","venue":"Journal of Stroke","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; Joe Niekro Foundation; Neurosurgery Research and Education Foundation; National Institutes of Health; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Medtronic; Siemens Healthineers; Penumbra; Bristol-Myers Squibb; Daiichi-Sankyo; National Institute on Minority Health and Health Disparities; Stryker; Pfizer; National Science Foundation","keywords":"Medicine; Odds ratio; Cerebral infarction; Thrombolysis; Stroke (engine); Confidence interval; Modified Rankin Scale; Internal medicine; Middle cerebral artery; Intracerebral hemorrhage; Cardiology; Ischemic stroke; Subarachnoid hemorrhage; Myocardial infarction; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001194489,0.0002895084,0.0004892806,0.0007565262,0.0003444454,0.0008405905,0.0004877995,0.0006042398,0.0007478801],"category_scores_gemma":[0.003726507,0.0001993463,0.000475258,0.001059396,0.0004569579,0.0004456092,0.0003508543,0.0005244729,0.0001370931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005280497,"about_ca_system_score_gemma":0.0007059274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006069368,"about_ca_topic_score_gemma":0.008591763,"domain_scores_codex":[0.9994515,0.0001328299,0.00006707945,0.0001037034,0.0001384275,0.0001064722],"domain_scores_gemma":[0.9983287,0.0002529285,0.0009705161,0.00007561667,0.0001235686,0.0002486488],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002890529,0.0000177881,0.9988441,0.000005655512,0.00005049113,0.00004343274,0.00001363343,0.00002063993,0.00004338551,0.00001243165,0.0000391859,0.000620152],"study_design_scores_gemma":[0.00003286891,0.0001798218,0.9989595,0.000007290092,0.00007145534,0.0003057326,0.00006810667,0.000236116,0.00003533597,0.00004448414,0.00005547509,0.000003717574],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992583,0.0003021466,0.00004278975,0.00005460506,0.000005769366,0.000006375251,0.0001132388,0.000001318359,0.0002154932],"genre_scores_gemma":[0.9995959,0.00008576741,0.00002853971,0.00002416414,0.00001536447,0.000003352538,0.0002215183,5.857073e-7,0.00002476855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006069368,"threshold_uncertainty_score":0.01206809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009203433572304862,"score_gpt":0.250437152239159,"score_spread":0.2412337186668541,"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."}}