{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001482501,0.0002825074,0.000445013,0.000326863,0.00005125719,0.00001422182,0.0002409954,0.00006168468,0.0009854797],"category_scores_gemma":[0.00006500461,0.0002189482,0.0002093236,0.0003052063,0.0000483934,0.0003766839,0.0000930455,0.0001556245,0.00002278534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001234745,"about_ca_system_score_gemma":0.0001541591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001160208,"about_ca_topic_score_gemma":0.00001487714,"domain_scores_codex":[0.9979107,0.00005645095,0.0004326963,0.000469967,0.000801717,0.0003285054],"domain_scores_gemma":[0.9984846,0.00001842316,0.0001221166,0.0007574648,0.000122986,0.0004944224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007332765,0.006286431,0.8369476,0.002277861,0.002153993,0.0006651831,0.022415,0.0001872244,0.03163021,0.0001041152,0.00653307,0.08346656],"study_design_scores_gemma":[0.01065108,0.002338935,0.8324209,0.0009783275,0.002963394,0.0001148299,0.003699864,0.001842263,0.1402408,0.00003537468,0.004058773,0.0006554079],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946387,0.0002404936,0.001613049,0.0002843989,0.00005716,0.001390666,0.0001260853,0.00008134274,0.001568071],"genre_scores_gemma":[0.9969974,0.0001663303,0.00178538,0.0005046797,0.00004741173,0.00007549515,0.0001878626,0.00004309983,0.0001924063],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1086106,"threshold_uncertainty_score":0.9999278,"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."}}