{"id":"W4283742595","doi":"10.1007/s12975-022-01058-9","title":"Assessment of Irreversible Tissue Injury in Extensive Ischemic Stroke—Potential of Quantitative Cerebral Perfusion","year":2022,"lang":"en","type":"article","venue":"Translational Stroke Research","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Medicine; Modified Rankin Scale; Lesion; Stroke (engine); Cerebral blood flow; Neurology; Perfusion; Perfusion scanning; Internal medicine; Cardiology; Ischemic stroke; Nuclear medicine; Ischemia; Surgery","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001400457,0.0001497928,0.0004273644,0.0008426814,0.0001356535,0.000006231697,0.00025855,0.00006836816,0.002456672],"category_scores_gemma":[0.00007277417,0.0001583557,0.000140073,0.0007144906,0.0002498282,0.0001064426,0.0002543945,0.0008624663,0.000006550262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002635159,"about_ca_system_score_gemma":0.0005277403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003096101,"about_ca_topic_score_gemma":0.000008708246,"domain_scores_codex":[0.9959022,0.0002956562,0.000568371,0.0003931145,0.002433677,0.0004070252],"domain_scores_gemma":[0.9987271,0.0002727014,0.0001344464,0.0002936202,0.0004770088,0.00009512285],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001429772,0.0006917524,0.05073345,0.0002465034,0.0001604096,0.0000508153,0.0006367122,0.001727278,0.9321157,0.002197131,0.007014262,0.00299624],"study_design_scores_gemma":[0.01089901,0.00533551,0.7015173,0.0002814537,0.0002257639,0.00004839472,0.0111654,0.02462233,0.2208916,0.0002108184,0.02429933,0.0005030983],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9698971,0.0003010572,0.001498885,0.001434498,0.00008263902,0.001027663,0.0005617223,0.00001296992,0.0251835],"genre_scores_gemma":[0.9870329,0.00005140436,0.009637355,0.00002506416,0.00004286682,0.00007869164,0.0001957425,0.00002332224,0.002912682],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7112241,"threshold_uncertainty_score":0.9984552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05307954184040738,"score_gpt":0.4028861478205711,"score_spread":0.3498066059801638,"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."}}