{"id":"W2280312633","doi":"10.1161/str.43.suppl_1.a95","title":"Abstract 95: Regional Very Low Cerebral Blood Volume with Subsequent Local Reperfusion Predicts Hemorrhagic Transformation in Acute Ischemic Stroke","year":2012,"lang":"en","type":"article","venue":"Stroke","topic":"MRI in cancer diagnosis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Medicine; Thrombolysis; Stroke (engine); Perfusion; Perfusion scanning; Cardiology; Nuclear medicine; Penumbra; Cerebral blood flow; Internal medicine; Receiver operating characteristic; 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":[0.0006790357,0.0002863172,0.0002816718,0.0006386924,0.0001580763,0.0006312813,0.000193931,0.0003377016,0.002601711],"category_scores_gemma":[0.002536363,0.0001400844,0.0002554267,0.0004140482,0.0002404738,0.0003343519,0.0003048524,0.0002359618,0.0003285896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001307143,"about_ca_system_score_gemma":0.0001455024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004364919,"about_ca_topic_score_gemma":0.0004582301,"domain_scores_codex":[0.9997717,0.00006682977,0.00003469262,0.00004323624,0.00005623645,0.00002730269],"domain_scores_gemma":[0.9988148,0.0004136341,0.0004546158,0.00006565207,0.00007262963,0.0001786831],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002520786,0.00006237656,0.9903666,0.00003100892,0.00009699244,0.0001249867,0.00002474556,0.0001955823,0.001388933,0.00001999003,0.0001744161,0.004993552],"study_design_scores_gemma":[0.00004236249,0.0005556582,0.997166,0.000006957871,0.00005263959,0.0005099552,0.00002944599,0.0009826799,0.0005165708,0.00004653812,0.000086676,0.000004464931],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991409,0.0001538508,0.00018277,0.00002318131,0.000004120196,0.00001219558,0.0001559061,0.000008355201,0.0003187404],"genre_scores_gemma":[0.9995085,0.00002974237,0.0001257038,0.000008191657,0.00001033546,0.000009085931,0.0002105588,0.000001450526,0.00009640986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002601711,"threshold_uncertainty_score":0.008703589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01271877041460247,"score_gpt":0.2415303133731722,"score_spread":0.2288115429585698,"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."}}