{"id":"W1539577780","doi":"10.1109/iembs.2006.260171","title":"Prediction of Hemorrhagic Transformation after Acute Ischemic Stroke Using Hyperintense MCA Sign","year":2006,"lang":"en","type":"article","venue":"","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Western Hospital; University of Toronto","funders":"","keywords":"Ischemic stroke; Sign (mathematics); Transformation (genetics); Stroke (engine); Medicine; Cardiology; Internal medicine; Computer science; Ischemia; Engineering; Mathematics; Gene","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":[0.0004231268,0.0003269986,0.0001794125,0.0009935593,0.0001570527,0.0003452195,0.000214841,0.0004119084,0.001270788],"category_scores_gemma":[0.004628604,0.0001428524,0.0001418523,0.0002214204,0.0003276065,0.000354974,0.0002424997,0.0002915679,0.0003096389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001299941,"about_ca_system_score_gemma":0.0002012473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004900233,"about_ca_topic_score_gemma":0.0005257399,"domain_scores_codex":[0.9998183,0.0000701762,0.00002447054,0.00002215554,0.00004050729,0.00002451873],"domain_scores_gemma":[0.9987677,0.0004507426,0.0004087596,0.00003909097,0.000101274,0.0002323733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003222141,0.00005280009,0.994234,0.00001033061,0.00001184193,0.0003009665,0.00002006262,0.00009028133,0.0007937578,0.00001588205,0.00006701389,0.00408082],"study_design_scores_gemma":[0.00003299678,0.0004811171,0.992497,0.000009630563,0.00002399246,0.003763129,0.00007120924,0.001877178,0.001002746,0.0000636954,0.0001717149,0.000005610835],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988857,0.000234822,0.0003763126,0.00003679432,0.000006764055,0.00001594161,0.00003201395,0.000008614968,0.0004030685],"genre_scores_gemma":[0.9994723,0.00006187242,0.0002821248,0.000007980278,0.00001675295,0.000004694214,0.0000696831,8.494098e-7,0.00008360026],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001270788,"threshold_uncertainty_score":0.004251242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01438494460675302,"score_gpt":0.2285538844760314,"score_spread":0.2141689398692784,"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."}}