{"id":"W3173498708","doi":"10.3389/fnut.2021.704691","title":"Carotenoid-Rich Brain Nutrient Pattern Is Positively Correlated With Higher Cognition and Lower Depression in the Oldest Old With No Dementia","year":2021,"lang":"en","type":"article","venue":"Frontiers in Nutrition","topic":"Nutritional Studies and Diet","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"National Institute on Aging; Abbott Nutrition; DSM Research; DSM Nutritional Products; U.S. Department of Agriculture","keywords":"Dementia; Cognition; Depression (economics); Carotenoid; Neuroscience; Cognitive decline; Psychology; Nutrient; Clinical psychology; Gerontology; Medicine; Cognitive psychology; Psychiatry; Biology; Internal medicine; Ecology; Food science; Disease","routes":{"ca_aff":true,"ca_fund":false,"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":[0.000122626,0.0001769817,0.0002638675,0.0001145618,0.0001138704,0.00003519327,0.00004203559,0.0001087827,0.00004609642],"category_scores_gemma":[0.00001552769,0.0001224398,0.00003254339,0.0004552318,0.00008890958,0.0001114595,0.00002709402,0.0002585469,0.00000386922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009364096,"about_ca_system_score_gemma":0.00002681194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001061761,"about_ca_topic_score_gemma":0.00007304182,"domain_scores_codex":[0.9987436,0.00009217794,0.0002133638,0.0003630076,0.0003461853,0.0002416887],"domain_scores_gemma":[0.9994611,0.00005423834,0.0000686647,0.0001368751,0.0002205496,0.00005860574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003023189,0.002706395,0.9019313,0.0006453095,0.0002084743,0.001066159,0.000532721,0.000002182747,0.001331528,0.00003084836,0.08755957,0.0009622502],"study_design_scores_gemma":[0.02588475,0.001653962,0.948977,0.006444299,0.0004203992,0.0002769168,0.002674046,0.000199418,0.002991803,0.0007223926,0.009318019,0.0004370116],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9791166,0.008452011,0.002935049,0.006625312,0.00028578,0.001230468,0.00008897677,0.00002881695,0.001237053],"genre_scores_gemma":[0.9919039,0.001854526,0.001718114,0.003627111,0.0001177113,0.0002110881,0.0003917315,0.00002146666,0.0001543514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07824155,"threshold_uncertainty_score":0.4992952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006121313443386576,"score_gpt":0.2132908231162418,"score_spread":0.2071695096728552,"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."}}