{"id":"W2974257949","doi":"10.1016/j.nicl.2019.102007","title":"Arterial stiffness cut-off value and white matter integrity in the elderly","year":2019,"lang":"en","type":"article","venue":"NeuroImage Clinical","topic":"Cardiovascular Health and Disease Prevention","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Heart Institute; Montreal Clinical Research Institute; Université de Montréal; Polytechnique Montréal; Institut Universitaire de Gériatrie de Montréal","funders":"Lady Davis Institute for Medical Research; Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Institut de Valorisation des Données; Polytechnique Montréal; Canada First Research Excellence Fund; Fonds de recherche du Québec – Nature et technologies; Heart and Stroke Foundation of Canada; Université de Montréal; Canada Foundation for Innovation; McGill University","keywords":"Arterial stiffness; Pulse wave velocity; Cardiology; Internal medicine; Medicine; Corona radiata (embryology); White matter; Corpus callosum; Internal capsule; Diffusion MRI; Hyperintensity; Radiology; Blood pressure; Magnetic resonance imaging; Pathology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00124064,0.0003009329,0.0003636602,0.0008502059,0.000312804,0.000489732,0.0001699888,0.0005752751,0.001141812],"category_scores_gemma":[0.00495847,0.0001037848,0.0002823313,0.0004709694,0.0001880031,0.0002514789,0.0003700898,0.0002902198,0.0002902391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001409874,"about_ca_system_score_gemma":0.0002270347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001406731,"about_ca_topic_score_gemma":0.001666499,"domain_scores_codex":[0.9996432,0.00008193258,0.0000674222,0.00006184531,0.00009139255,0.00005418781],"domain_scores_gemma":[0.997962,0.0006763021,0.0007045327,0.0001032549,0.0003326514,0.0002212842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006660373,0.00005252264,0.9931409,0.00002314526,0.00007313964,0.0001532741,0.0001061798,0.0000764057,0.001155807,0.00002996525,0.0001439766,0.004378644],"study_design_scores_gemma":[0.00001175031,0.0002186471,0.9985194,0.00001375457,0.00004222826,0.0003536602,0.00009066061,0.0002482934,0.0003199677,0.00007546323,0.0001024264,0.000003769195],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985911,0.0005018442,0.0002708496,0.00003848531,0.00001194189,0.000008284718,0.0001627082,0.000006278013,0.000408535],"genre_scores_gemma":[0.9993923,0.00005414714,0.0002871646,0.00001400584,0.00001038166,0.000009382544,0.0001469494,0.000001332456,0.00008432339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001406731,"threshold_uncertainty_score":0.00656122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0407446291020488,"score_gpt":0.3661539485356807,"score_spread":0.3254093194336319,"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."}}