{"id":"W4414899678","doi":"10.1080/27697061.2025.2549893","title":"Precision Nutritional Genomics, Gut Microbiota and Artificial Intelligence in Chronic Kidney Disease","year":2025,"lang":"en","type":"review","venue":"Journal of the American Nutrition Association","topic":"Chronic Kidney Disease and Diabetes","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Kidney disease; Microbiome; Vitamin D and neurology; Gut flora; Glycemic; Diabetes mellitus; Psychological intervention; Population","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008221047,0.0007945758,0.001303457,0.001665336,0.0002696498,0.001344548,0.000656743,0.001578575,0.002428654],"category_scores_gemma":[0.001452642,0.0002557542,0.0006584821,0.001794097,0.0006699408,0.001472389,0.000922635,0.001889429,0.00110152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007212393,"about_ca_system_score_gemma":0.001153589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001445385,"about_ca_topic_score_gemma":0.001661922,"domain_scores_codex":[0.9997262,0.00008622378,0.00003315994,0.00004390222,0.00008810679,0.00002244856],"domain_scores_gemma":[0.9993386,0.0004760407,0.00004481935,0.00001856052,0.0000939637,0.000027998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005186043,0.00006426594,0.0002042899,0.02021874,0.0001766898,0.0001234981,0.000138398,0.0007259009,0.0009914965,0.01844862,0.01701259,0.9418436],"study_design_scores_gemma":[0.00001897927,0.0001183924,0.001029225,0.009693431,0.000184104,0.0007564652,0.0001224878,0.0003671086,0.0005579182,0.01478022,0.9723333,0.00003850038],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001297657,0.9974601,0.0004071173,0.000512096,0.0002220572,0.000005470413,0.00001431916,0.00001037196,0.001238715],"genre_scores_gemma":[0.001317124,0.9970428,0.0005853307,0.0003037517,0.0001548098,0.00001216192,0.00002458818,0.000002825497,0.0005566215],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002428654,"threshold_uncertainty_score":0.00812465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01697899648841609,"score_gpt":0.3230391940926442,"score_spread":0.3060601976042281,"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."}}