{"id":"W2031548649","doi":"10.1159/000331914","title":"Admission CT Perfusion Is an Independent Predictor of Hemorrhagic Transformation in Acute Stroke with Similar Accuracy to DWI","year":2011,"lang":"en","type":"article","venue":"Cerebrovascular Diseases","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"National Center for Research Resources; National Institute of Neurological Disorders and Stroke; Agency for Healthcare Research and Quality; National Institutes of Health; Harvard Catalyst; Massachusetts General Hospital","keywords":"Medicine; Voxel; Area under the curve; Receiver operating characteristic; Nuclear medicine; Diffusion MRI; Cerebral blood flow; Stroke (engine); Perfusion scanning; Perfusion; Magnetic resonance imaging; Radiology; Internal medicine","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":[0.000807547,0.0003817122,0.0002857829,0.0009128185,0.0001853369,0.0006874707,0.000265694,0.0003909641,0.0009408785],"category_scores_gemma":[0.006509094,0.0001583059,0.0002448922,0.0004807367,0.0003905178,0.000360855,0.0002670165,0.0004428884,0.0003169952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001837282,"about_ca_system_score_gemma":0.0002347353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001598611,"about_ca_topic_score_gemma":0.001414547,"domain_scores_codex":[0.999698,0.00008145442,0.00004335469,0.00005704783,0.00008131207,0.00003887161],"domain_scores_gemma":[0.9964542,0.001520693,0.001101065,0.0001926766,0.0004439355,0.0002874478],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004251959,0.00003410599,0.9906352,0.00001104338,0.00005069889,0.0001173597,0.0000290369,0.0003133886,0.001487984,0.00001480595,0.0001082517,0.006772839],"study_design_scores_gemma":[0.00001128069,0.0001693193,0.9941058,0.000006816562,0.00004880368,0.0009728054,0.00003255693,0.003672443,0.0008033333,0.0000670335,0.0001030599,0.000006657692],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983165,0.0002743235,0.0007009087,0.00004396252,0.000007915228,0.000009501045,0.0001195939,0.00003930195,0.0004879189],"genre_scores_gemma":[0.9994562,0.0000615376,0.0002591087,0.000007773152,0.00001022285,0.000003502729,0.0001457071,0.000003855611,0.0000520733],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001598611,"threshold_uncertainty_score":0.004270792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01637278736348224,"score_gpt":0.2482553419966657,"score_spread":0.2318825546331835,"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."}}