{"id":"W4417024155","doi":"10.3389/fnagi.2025.1641690","title":"Machine learning-based early screening of mild cognitive impairment using nutrition-related biomarkers and functional indicators","year":2025,"lang":"en","type":"article","venue":"Frontiers in Aging Neuroscience","topic":"Nutritional Studies and Diet","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Cognitive impairment; Cognition; Biomarker; Effects of sleep deprivation on cognitive performance; Healthy aging; Disease","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033724,0.001014624,0.0007647452,0.001490539,0.0002782858,0.0008418807,0.0007087303,0.0005766367,0.001039177],"category_scores_gemma":[0.00567515,0.0001980848,0.0009593921,0.0006195723,0.0002415635,0.0005036125,0.0004818995,0.0005829406,0.0003534723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006161357,"about_ca_system_score_gemma":0.001111591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01048321,"about_ca_topic_score_gemma":0.007800525,"domain_scores_codex":[0.9993271,0.0003357523,0.00004886986,0.0001640902,0.00006473106,0.00005955774],"domain_scores_gemma":[0.9979833,0.001255302,0.00031516,0.00007273005,0.0002962885,0.00007723644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009071637,0.0009591909,0.6154981,0.0001928601,0.0009638178,0.0001614825,0.0001038448,0.2435799,0.001506377,0.0004136642,0.001809461,0.1339042],"study_design_scores_gemma":[0.00004774286,0.000392249,0.06225119,0.00005522915,0.0001979328,0.00008236837,0.00004187739,0.9350338,0.0006279575,0.0009144382,0.0003354389,0.00001975117],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8967916,0.001575919,0.09666215,0.0009147522,0.0000717505,0.0002176691,0.001371558,0.0007664613,0.001628199],"genre_scores_gemma":[0.9875088,0.0001928752,0.0109328,0.00008080961,0.00002828213,0.00008386777,0.0006710024,0.000007798954,0.0004937611],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01048321,"threshold_uncertainty_score":0.0208444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01730013454788001,"score_gpt":0.2671580372492334,"score_spread":0.2498579027013534,"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."}}