{"id":"W4388927246","doi":"10.1080/1028415x.2023.2285537","title":"Energy-adjusted dietary inflammatory index and cognitive function in Chinese older adults: a population-based cross-sectional study","year":2023,"lang":"en","type":"article","venue":"Nutritional Neuroscience","topic":"Nutritional Studies and Diet","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Montreal Cognitive Assessment; Medicine; Cognition; Dementia; Logistic regression; Mini–Mental State Examination; Internal medicine; Gerontology; Cross-sectional study; Cognitive decline; Cognitive impairment; Population; Effects of sleep deprivation on cognitive performance; Demography; Disease; Environmental health; Psychiatry; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001978847,0.0001826489,0.0002086324,0.000416273,0.0003313835,0.00004972146,0.00006128455,0.00007444379,0.00003118882],"category_scores_gemma":[0.000246125,0.0001694602,0.00006926974,0.001200538,0.0001743981,0.0002298813,0.00006511513,0.0001908453,0.000007808245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005120536,"about_ca_system_score_gemma":0.00007496637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000214483,"about_ca_topic_score_gemma":0.0001250468,"domain_scores_codex":[0.9980089,0.00005701229,0.0003627905,0.0005780772,0.0007255428,0.0002676697],"domain_scores_gemma":[0.9991885,0.0002838175,0.00007277707,0.00009727463,0.0002280928,0.0001295382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001445926,0.001089751,0.9966268,0.00008058437,0.000007933718,0.00009833056,0.00002066766,0.00008892889,0.0002279675,0.00005637041,0.0001112148,0.0001455596],"study_design_scores_gemma":[0.006839208,0.0004831874,0.9860097,0.0001540493,0.00001628086,0.00002762269,0.0001255137,0.005597237,0.000004772024,0.0005454787,0.00004305426,0.0001539406],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982883,0.0001611312,0.00005421082,0.0003691947,0.0003095198,0.0005286718,0.0001132608,0.000111451,0.00006421226],"genre_scores_gemma":[0.997834,0.0000369986,0.00001243251,0.001259579,0.0002087142,0.0002601399,0.0003022741,0.0000154545,0.00007037912],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01061711,"threshold_uncertainty_score":0.6910387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02250186943689439,"score_gpt":0.294639884245053,"score_spread":0.2721380148081586,"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."}}