{"id":"W2733800410","doi":"10.1159/000477729","title":"Guide for Current Nutrigenetic, Nutrigenomic, and Nutriepigenetic Approaches for Precision Nutrition Involving the Prevention and Management of Chronic Diseases Associated with Obesity","year":2017,"lang":"en","type":"article","venue":"Lifestyle Genomics","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":174,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"National Heart, Lung, and Blood Institute","keywords":"Epigenetics; Obesity; Psychological intervention; Bioinformatics; Precision medicine; Nutrigenomics; Biology; Medicine; Intensive care medicine; Computational biology; Gene; Genetics; Psychiatry; Endocrinology","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":[0.002414663,0.0009432908,0.0009139129,0.00239969,0.0008003173,0.002961254,0.001982284,0.00447669,0.138256],"category_scores_gemma":[0.007313606,0.0005806509,0.001236936,0.001941244,0.0009502704,0.002845589,0.001752269,0.004737985,0.1171929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001366827,"about_ca_system_score_gemma":0.005493665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003794852,"about_ca_topic_score_gemma":0.01008549,"domain_scores_codex":[0.9989011,0.000290632,0.0001744443,0.0001167288,0.0004512086,0.00006584122],"domain_scores_gemma":[0.9959356,0.001415725,0.0002900213,0.0002984717,0.001527268,0.0005329247],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006953502,0.0001332914,0.000312299,0.001163445,0.00001485834,0.0002761603,0.0001145122,0.0001548762,0.0007903248,0.008231589,0.6853322,0.3034067],"study_design_scores_gemma":[0.00001463713,0.00002226762,0.000245977,0.000482652,0.000008464863,0.0002640265,0.00003804583,0.0000566403,0.0001471128,0.002596848,0.9961144,0.000009109689],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.001986011,0.1406489,0.09475622,0.2002015,0.02303223,0.003129435,0.01595918,0.01101126,0.5092753],"genre_scores_gemma":[0.006553708,0.1297887,0.2545322,0.07948251,0.005674158,0.00339402,0.009405985,0.002257498,0.5089112],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.138256,"threshold_uncertainty_score":0.4625123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02335727832375417,"score_gpt":0.2692181904117282,"score_spread":0.245860912087974,"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."}}