{"id":"W4410907601","doi":"10.5853/jos.2024.03720","title":"Combining Computed Tomography Perfusion and Baseline National Institutes of Health Stroke Scale to Assess the Clinical Penumbra in Ischemic Stroke","year":2025,"lang":"en","type":"article","venue":"Journal of Stroke","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; University of British Columbia; St. Michael's Hospital; University of Saskatchewan; University of Calgary","funders":"","keywords":"Penumbra; Medicine; Stroke (engine); Computed tomography; Ischemic stroke; Baseline (sea); Perfusion scanning; Cardiology; Perfusion; Internal medicine; Physical medicine and rehabilitation; Radiology; 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":[0.001211509,0.001187091,0.001513789,0.002452942,0.0004200001,0.001565088,0.0007268497,0.0007778654,0.001506911],"category_scores_gemma":[0.00312851,0.0003155642,0.0008510014,0.001476374,0.0003777875,0.001316406,0.0007349899,0.001084218,0.000480022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005305884,"about_ca_system_score_gemma":0.0007819404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006051017,"about_ca_topic_score_gemma":0.0113911,"domain_scores_codex":[0.9993175,0.0002238645,0.00009173636,0.0001116898,0.0001495034,0.000105646],"domain_scores_gemma":[0.9988129,0.0003141641,0.0002775353,0.00008359356,0.0002789406,0.000232867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001438079,0.0001878537,0.9806547,0.00005362046,0.0005683969,0.0002691218,0.00004753232,0.0006209952,0.000680345,0.00006407578,0.0008283624,0.01458694],"study_design_scores_gemma":[0.00005402571,0.0005845136,0.9920329,0.00006071038,0.0003351315,0.0008730409,0.0001730236,0.004526671,0.0005224807,0.0003100541,0.0004938247,0.00003355749],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876509,0.002440616,0.001413576,0.00041551,0.0001234052,0.0001181777,0.001326739,0.00007371753,0.006437421],"genre_scores_gemma":[0.9966362,0.0007343615,0.0008485895,0.0001174241,0.00008499651,0.00004518399,0.0009364681,0.000007941083,0.0005888034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006051017,"threshold_uncertainty_score":0.01203156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04182681548904886,"score_gpt":0.3587551753935317,"score_spread":0.3169283599044828,"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."}}