{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000551763,0.0002499601,0.001303976,0.0005192601,0.00008168019,0.00006111091,0.0002045677,0.0001339098,0.0000368398],"category_scores_gemma":[0.002172271,0.0001910512,0.0007408013,0.0007410661,0.0001028537,0.0001035977,0.00008568214,0.0005893754,0.000007630468],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005320489,"about_ca_system_score_gemma":0.004288487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001039854,"about_ca_topic_score_gemma":0.000004426282,"domain_scores_codex":[0.9976372,0.0003518567,0.001116014,0.0002402019,0.0004137267,0.0002409682],"domain_scores_gemma":[0.9964578,0.000496604,0.00226229,0.0002219283,0.0002527439,0.0003086743],"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":[0.0004572518,0.00157406,0.0007186853,0.02587246,0.0005550149,0.00003608157,0.00003377737,0.000004960548,0.0002273756,0.0001828697,0.04189609,0.9284414],"study_design_scores_gemma":[0.001265682,0.0002993568,0.003578528,0.09640457,0.003403409,0.00005231608,0.00005598967,0.00009464419,0.00002967862,0.00365313,0.8907951,0.0003676685],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0006632403,0.9933808,0.00004316327,0.004083581,0.0003588093,0.0008946792,0.0005365327,0.000009074851,0.00003005374],"genre_scores_gemma":[0.000468702,0.9973112,0.000238169,0.0007075267,0.0008791913,0.00003132854,0.000220819,0.00002095974,0.0001220565],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9280737,"threshold_uncertainty_score":0.9984979,"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."}}