{"id":"W2999515079","doi":"10.3389/fneur.2019.01378","title":"Correlations Between the Microstructural Changes of the Medial Temporal Cortex and Mild Cognitive Impairment in Patients With Cerebral Small Vascular Disease (cSVD): A Diffusion Kurtosis Imaging Study","year":2020,"lang":"en","type":"article","venue":"Frontiers in Neurology","topic":"Cerebrovascular and Carotid Artery Diseases","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Siemens Healthineers","keywords":"Kurtosis; Diffusion MRI; Neuroscience; Disease; Cognitive impairment; Neuroimaging; Medicine; Cognition; Voxel-based morphometry; Cardiology; Psychology; Magnetic resonance imaging; Pathology; Radiology; White matter","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":[0.0002561588,0.0003187678,0.0002809533,0.0009107396,0.0002413274,0.0003352836,0.0001588125,0.0002831077,0.0009270492],"category_scores_gemma":[0.000950054,0.0001737279,0.000256761,0.0004086438,0.0002756841,0.0003382492,0.0002711779,0.0002256559,0.0001223363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001694655,"about_ca_system_score_gemma":0.0002005874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001665906,"about_ca_topic_score_gemma":0.00297673,"domain_scores_codex":[0.9998804,0.00001799221,0.00002420502,0.00003289673,0.00002594881,0.00001850401],"domain_scores_gemma":[0.9995244,0.00005961048,0.0002535455,0.000025556,0.00006706981,0.00006983781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003817006,0.00005214487,0.9918764,0.00003205789,0.0001215073,0.0006319516,0.0001077103,0.0000720826,0.003257197,0.00002606164,0.00006030692,0.003380897],"study_design_scores_gemma":[0.00001006017,0.0001536172,0.9974542,0.000005544517,0.00004534705,0.001433004,0.0001306812,0.0003294335,0.0002809752,0.00005155458,0.0001004964,0.000005127004],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993662,0.0003053974,0.00008380347,0.00001975158,0.000002731128,0.000005063118,0.00005619006,0.000001881847,0.0001589369],"genre_scores_gemma":[0.9995589,0.0001275303,0.000122545,0.00001005169,0.000009508026,0.000003817223,0.00008524008,7.053548e-7,0.00008159888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001665906,"threshold_uncertainty_score":0.003312409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006427987570257311,"score_gpt":0.1969964312805734,"score_spread":0.1905684437103161,"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."}}