{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001063626,0.0001088857,0.0003420105,0.00004271917,0.00002828936,0.00004001706,0.00008503434,0.0001132796,0.0002376616],"category_scores_gemma":[0.0003062664,0.00007572824,0.0002563512,0.00009153733,0.0000784337,0.00007753952,0.00005032249,0.0006402131,0.000298964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009686834,"about_ca_system_score_gemma":0.00008885102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002302119,"about_ca_topic_score_gemma":0.000009673622,"domain_scores_codex":[0.9981945,0.000542203,0.0004367677,0.0003730158,0.000248731,0.0002047515],"domain_scores_gemma":[0.9989777,0.0002570846,0.00005393435,0.000518179,0.00003669214,0.000156397],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002503477,0.0006583122,0.941951,0.00033572,0.00003736325,0.0003019326,0.0001544957,0.000001063656,0.0002371568,0.00006153313,0.007021791,0.0467362],"study_design_scores_gemma":[0.003994102,0.0001634694,0.9895855,0.00005379152,0.00008887221,0.0001112577,0.00004630682,0.0001475932,0.000001383519,0.000143428,0.005594287,0.0000700501],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922805,0.0001296634,0.00004367893,0.004364764,0.0007838593,0.0006421697,0.000007242902,0.00002022993,0.001727841],"genre_scores_gemma":[0.9931941,0.00007902223,0.00006492601,0.005990432,0.0004482068,0.00001437453,0.00002164446,0.00001337217,0.0001739057],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0476345,"threshold_uncertainty_score":0.3842677,"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."}}