{"id":"W4206295752","doi":"10.3389/fnagi.2021.777475","title":"Cerebrospinal Fluid Biomarkers, Brain Structural and Cognitive Performances Between Normotensive and Hypertensive Controlled, Uncontrolled and Untreated 70-Year-Old Adults","year":2022,"lang":"en","type":"article","venue":"Frontiers in Aging Neuroscience","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Institut Universitaire de Gériatrie de Montréal; Polytechnique Montréal","funders":"Mitacs; Vetenskapsrådet; European Commission; Alzheimer's Drug Discovery Foundation","keywords":"Hyperintensity; Cerebrospinal fluid; Medicine; White matter; Neurodegeneration; Pathology; Fractional anisotropy; Magnetic resonance imaging; Internal medicine; Atrophy; Corpus callosum; Dementia; Cognitive decline; Cardiology; Psychology; Disease; Radiology","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":[0.0002589002,0.0003198418,0.0003236968,0.000801346,0.0003611856,0.000591345,0.0001839131,0.0004337516,0.0009208364],"category_scores_gemma":[0.0008820276,0.0001694809,0.0002673265,0.0004736502,0.0002689155,0.0003522681,0.0003107974,0.0002560948,0.0002032098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002397122,"about_ca_system_score_gemma":0.000193068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01115546,"about_ca_topic_score_gemma":0.01091754,"domain_scores_codex":[0.9998165,0.00002412075,0.00002486974,0.00005967961,0.00003992575,0.00003494222],"domain_scores_gemma":[0.9995882,0.00005447742,0.0001471063,0.0000326063,0.00004332435,0.0001342485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006064784,0.00009490849,0.9960889,0.00001556517,0.00009159262,0.0001785299,0.0003232866,0.00001795539,0.001084879,0.00001650767,0.00008152665,0.00139984],"study_design_scores_gemma":[0.00000629583,0.0001068164,0.9995521,0.000001848261,0.00002355398,0.00008366755,0.0001291268,0.00001960316,0.00003744525,0.000007464258,0.00003074818,0.000001330215],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995255,0.0001512422,0.00001523227,0.000009485972,0.000003433895,0.000002638522,0.0001395635,0.000001601051,0.00015116],"genre_scores_gemma":[0.9994729,0.00007294566,0.00002484887,0.00001748076,0.000006454124,0.000003747799,0.0002346053,9.688875e-7,0.0001659521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01115546,"threshold_uncertainty_score":0.02218103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009479870807392507,"score_gpt":0.2586871703496207,"score_spread":0.2492072995422282,"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."}}