{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003945261,0.0005483297,0.001192461,0.002251243,0.00006516647,0.0002310855,0.0004000893,0.0002217892,0.0001749084],"category_scores_gemma":[0.00008327715,0.0004350074,0.0004413566,0.001643735,0.0001496496,0.0006231795,0.0001790689,0.001169267,0.00002697576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005477331,"about_ca_system_score_gemma":0.000228063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009047848,"about_ca_topic_score_gemma":0.0004171604,"domain_scores_codex":[0.9956275,0.00009344846,0.001370376,0.0006314194,0.001441546,0.0008357737],"domain_scores_gemma":[0.9982088,0.0001513757,0.0003355423,0.0004969194,0.0003809334,0.0004263913],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001583677,0.001628042,0.9707567,0.0003519843,0.001539766,0.0002954437,0.002393518,0.0004036622,0.004043352,0.00003122437,0.003093639,0.01387897],"study_design_scores_gemma":[0.008547617,0.004462982,0.9754534,0.001991244,0.0006885843,0.00006252054,0.0005680832,0.002308634,0.003300698,0.000007734772,0.002125473,0.0004830619],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937728,0.0002027682,0.0005337308,0.001739605,0.0005322331,0.001741072,0.00009120626,0.00007426809,0.001312333],"genre_scores_gemma":[0.9932913,0.0000234387,0.004990656,0.0005256771,0.0002823431,0.00006575694,0.00003093962,0.00009166998,0.0006982259],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01339591,"threshold_uncertainty_score":0.9998102,"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."}}