{"id":"W3196345194","doi":"10.1159/000518489","title":"Applications of Metabolomics to Precision Nutrition","year":2021,"lang":"en","type":"review","venue":"Lifestyle Genomics","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Biotechnology; Population; Environmental health; Disease; Malnutrition; Food processing; Metabolomics; Medicine; Biology; Bioinformatics; Food science; Pathology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002657859,0.0003602696,0.001396746,0.0002007384,0.00007466276,0.00002673467,0.0004277306,0.0003735859,0.00001584119],"category_scores_gemma":[0.0001271916,0.0003503643,0.0004637286,0.0004270015,0.00004368329,0.000001937936,0.0004934836,0.0001579714,0.00003028989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004308466,"about_ca_system_score_gemma":0.0002735667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004449228,"about_ca_topic_score_gemma":0.000008907363,"domain_scores_codex":[0.998144,0.0001069629,0.000710357,0.0006391364,0.0001333298,0.0002662404],"domain_scores_gemma":[0.9984098,0.00004702389,0.0003794791,0.0008652777,0.0001753998,0.0001229914],"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":[0.00001169723,0.0002567404,0.000002543657,0.003406337,0.0005897928,0.000001343508,0.00001915359,0.000005426345,0.004019727,0.00162507,0.004388263,0.9856739],"study_design_scores_gemma":[0.0001259674,0.00009701595,9.01971e-7,0.0004185107,0.0004783104,0.00001740435,0.00002305705,4.829522e-7,0.001352782,0.00004992388,0.997121,0.0003146413],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00009859481,0.9906356,0.006776595,0.00001846898,0.0002426828,0.001275171,0.0004701427,0.000009001342,0.0004737064],"genre_scores_gemma":[0.00001143431,0.9820876,0.01452737,0.00005949954,0.0007598663,0.0006117962,0.00119254,0.00006992171,0.0006799909],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9927328,"threshold_uncertainty_score":0.9998949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01889127541119206,"score_gpt":0.3119547068989561,"score_spread":0.293063431487764,"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."}}