{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004419818,0.001444084,0.001449054,0.003751249,0.0007128729,0.003297179,0.001329868,0.003267252,0.005895913],"category_scores_gemma":[0.006463661,0.0006091563,0.001483693,0.003012144,0.003616288,0.002829728,0.003668179,0.004663478,0.001954955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002347964,"about_ca_system_score_gemma":0.001744807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002159984,"about_ca_topic_score_gemma":0.001587054,"domain_scores_codex":[0.9978147,0.0008477011,0.00008764637,0.0005076348,0.000628834,0.0001134593],"domain_scores_gemma":[0.9939859,0.003357693,0.0005030901,0.0008045501,0.001039816,0.0003089577],"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":[0.0006851365,0.0002895473,0.01928687,0.005461246,0.001545542,0.001315039,0.000672395,0.0153435,0.06289962,0.2418292,0.04903872,0.6016333],"study_design_scores_gemma":[0.0001014265,0.0003871354,0.01458937,0.001486676,0.0003808954,0.001735158,0.000558792,0.02053062,0.0297076,0.5855212,0.3446982,0.0003030534],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.02368979,0.3326206,0.5063661,0.06126554,0.006330035,0.0003767104,0.006710237,0.003822087,0.0588189],"genre_scores_gemma":[0.301307,0.2900405,0.3644545,0.02212491,0.008277938,0.0006556024,0.002977213,0.0004963375,0.009666034],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.005895913,"threshold_uncertainty_score":0.0233745,"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."}}