{"id":"W4401836386","doi":"10.1016/j.clnu.2024.08.027","title":"Dietary patterns, inflammatory biomarkers and cognition in older adults: An analysis of three population-based cohorts","year":2024,"lang":"en","type":"article","venue":"Clinical Nutrition","topic":"Nutritional Studies and Diet","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Institute of Population and Public Health","funders":"Erasmus Universitair Medisch Centrum Rotterdam; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Ministerie van Onderwijs, Cultuur en Wetenschap; Ministerie van Volksgezondheid, Welzijn en Sport; Erasmus Universiteit Rotterdam; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Sociale en Geesteswetenschappen, NWO; European Commission; ZonMw; China Scholarship Council; Canada Foundation for Innovation; Canadian Institutes of Health Research; National Science Foundation; Government of Canada; GlaxoSmithKline","keywords":"Medicine; Cognition; Gerontology; Population; Environmental health; Psychiatry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.003185727,0.0007410694,0.0008297027,0.001039325,0.001369437,0.001083173,0.000958095,0.0009697967,0.0006700401],"category_scores_gemma":[0.002985219,0.0005874654,0.002251558,0.002148131,0.0006194852,0.0004067299,0.001174375,0.0009195152,0.0001228645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001198162,"about_ca_system_score_gemma":0.001896161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1310907,"about_ca_topic_score_gemma":0.1317912,"domain_scores_codex":[0.9986748,0.0003793838,0.0001366224,0.0003390279,0.0002685412,0.0002016511],"domain_scores_gemma":[0.9981926,0.0002601544,0.0005134852,0.0003807839,0.0003120299,0.0003409541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004606772,0.00004825464,0.9977278,0.00001117555,0.0005094426,0.00005500986,0.000143698,0.00005457766,0.0002006084,0.00001515876,0.00008585076,0.0006877446],"study_design_scores_gemma":[0.00004252432,0.0001066144,0.9990659,0.000004712485,0.0002171869,0.00006326155,0.0001620429,0.0001762206,0.00002781036,0.00001710558,0.0001101165,0.000006384487],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989151,0.0001747032,0.0001881862,0.0000287382,0.000005172602,0.00003253388,0.0005707588,0.000004169196,0.00008077895],"genre_scores_gemma":[0.9981927,0.000133523,0.0003492291,0.00003985521,0.000006164403,0.00005636051,0.001117112,0.000003996716,0.0001010622],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1310907,"threshold_uncertainty_score":0.2606553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.030057211948084,"score_gpt":0.3428124496402712,"score_spread":0.3127552376921872,"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."}}