{"id":"W2433397248","doi":"10.1161/hyp.66.suppl_1.p157","title":"Abstract P157: Tractography of White Matter Connections Predicts for Vascular Cognitive Impairment in Hypertensive Patients","year":2015,"lang":"en","type":"article","venue":"Hypertension","topic":"Cerebrovascular and Carotid Artery Diseases","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; White matter; Fractional anisotropy; Internal medicine; Cardiology; Montreal Cognitive Assessment; Diffusion MRI; Vascular dementia; Hyperintensity; Effects of sleep deprivation on cognitive performance; Cognitive decline; Stroop effect; Cognitive impairment; Dementia; Cognition; Endocrinology; Magnetic resonance imaging; Disease; Psychiatry; Radiology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001634069,0.0002646602,0.0002004579,0.0005236269,0.0002924301,0.0003671981,0.0001277845,0.0002859091,0.003903269],"category_scores_gemma":[0.0007199105,0.0001105007,0.0002832532,0.0002969854,0.0001718779,0.0002206358,0.000247615,0.0002586034,0.0003536105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001443126,"about_ca_system_score_gemma":0.0001709101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003133113,"about_ca_topic_score_gemma":0.003404458,"domain_scores_codex":[0.9999377,0.00001094852,0.000008666072,0.0000176216,0.00001090584,0.00001424179],"domain_scores_gemma":[0.9996114,0.00007883916,0.0001296272,0.00002926607,0.00003713062,0.0001137133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003955205,0.00008751526,0.9938367,0.000009757667,0.00005675112,0.0003097618,0.00007207355,0.00006766481,0.002324987,0.00002138282,0.0001194237,0.00269852],"study_design_scores_gemma":[0.000004749197,0.00009877758,0.9990879,0.000002453867,0.00001593773,0.0003196831,0.00004472336,0.0002221093,0.0001359481,0.00002922133,0.0000369371,0.000001484996],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993723,0.00005788447,0.00008636078,0.00002095571,0.000003949221,0.000004104449,0.0001230208,0.000003486468,0.0003279503],"genre_scores_gemma":[0.999564,0.00002536297,0.00008054148,0.000007051974,0.000007622646,0.000002653059,0.000129475,0.000001383157,0.0001817795],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003903269,"threshold_uncertainty_score":0.01305771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02231304021896213,"score_gpt":0.2392400382440078,"score_spread":0.2169269980250456,"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."}}