{"id":"W2912395686","doi":"10.3389/fnagi.2019.00015","title":"Links Between Metabolic and Structural Changes in the Brain of Cognitively Normal Older Adults: A 4-Year Longitudinal Follow-Up","year":2019,"lang":"en","type":"article","venue":"Frontiers in Aging Neuroscience","topic":"Cerebrovascular and Carotid Artery Diseases","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; Centres Intégré Universitaires de Santé et de Services Sociaux; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Centre Hospitalier Universitaire de Sherbrooke; Université Laval; Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Université de Sherbrooke","keywords":"Cognition; Insulin resistance; Magnetic resonance imaging; Neuroimaging; Cognitive decline; Medicine; Internal medicine; Posterior cingulate; Insulin; Positron emission tomography; Endocrinology; Psychology; Neuroscience; Nuclear medicine; Dementia; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002815518,0.0001209676,0.000286451,0.0002085314,0.00004131926,0.00002742477,0.0001797507,0.00004296407,0.000008338842],"category_scores_gemma":[0.0001231758,0.00008873999,0.00006252855,0.0004262816,0.0002104362,0.0001452649,0.00006160467,0.0002557808,8.357932e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001015382,"about_ca_system_score_gemma":0.0000403747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005233493,"about_ca_topic_score_gemma":0.00002204909,"domain_scores_codex":[0.9988177,0.00009320536,0.0001595909,0.0003341669,0.00033134,0.0002640093],"domain_scores_gemma":[0.999601,0.00005785541,0.00005705071,0.000190588,0.00002998532,0.00006349615],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003351621,0.00001760618,0.9929582,0.00006460383,0.000005066051,0.000006083934,0.001516903,0.00000202344,0.000303892,0.00001046717,0.00009069932,0.004990886],"study_design_scores_gemma":[0.002075575,0.000103259,0.9945205,0.0001883472,0.00003762044,0.00001983179,0.001781667,0.0004016879,0.0006292733,0.00001722973,0.0001317907,0.00009321714],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978756,0.0003175224,0.0001221632,0.0007026588,0.0004033915,0.0004441499,0.00002039817,0.00001076558,0.0001033496],"genre_scores_gemma":[0.9988237,0.00005113948,0.0001250904,0.0008558185,0.00006054159,0.00001036392,0.000005640265,0.00000838107,0.00005930452],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004897669,"threshold_uncertainty_score":0.3618712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01120147692801506,"score_gpt":0.2466797423665413,"score_spread":0.2354782654385262,"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."}}