{"id":"W3087172481","doi":"10.1093/ajcn/nqaa204","title":"Recommendations for standardizing nomenclature for dietary (poly)phenol catabolites","year":2020,"lang":"en","type":"article","venue":"American Journal of Clinical Nutrition","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":111,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Agència de Gestió d'Ajuts Universitaris i de Recerca; Instituto de Salud Carlos III; Ministero delle Politiche Agricole Alimentari e Forestali; U.S. Department of Agriculture; Agence Nationale de la Recherche; Institució Catalana de Recerca i Estudis Avançats; European Regional Development Fund; Horizon 2020 Framework Programme; National Institute of Food and Agriculture; Centro de Investigación Biomédica en Red Fragilidad y Envejecimiento Saludable; World Health Organization","keywords":"Terminology; Confusion; Nomenclature; Chemical nomenclature; Metabolome; Health claims on food labels; Human health; Chemistry; Biochemistry; Metabolite; Biology; Medicine; Food science; Psychology; Environmental health; Organic chemistry","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":[0.0004640814,0.000102923,0.0004534459,0.0000358205,0.00008696717,0.00001764971,0.000134883,0.00005743672,0.000005431547],"category_scores_gemma":[0.001122146,0.00008986351,0.0003868969,0.0001073319,0.0001096779,0.000008577782,0.0000318388,0.0001383992,3.60908e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007074745,"about_ca_system_score_gemma":0.00006436228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001203702,"about_ca_topic_score_gemma":0.000001513942,"domain_scores_codex":[0.9988061,0.00006287143,0.0006938881,0.0001881996,0.00008881289,0.0001601547],"domain_scores_gemma":[0.9986141,0.0002143585,0.00058956,0.00009388958,0.0003436324,0.0001445004],"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":[0.01116748,0.001176964,0.003563203,0.00026819,0.001766498,0.000003284403,0.0003066005,0.000008281437,0.1922435,0.002072535,0.2587999,0.5286235],"study_design_scores_gemma":[0.003313307,0.007237065,0.000750914,0.00003777004,0.0001573221,0.000007176878,0.0006273836,0.00003968567,0.009494146,0.002080007,0.9760738,0.0001814358],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4850935,0.01776216,0.3780909,0.1140214,0.001702153,0.001302931,0.001824894,0.00002097452,0.0001811434],"genre_scores_gemma":[0.7656962,0.008692035,0.2175633,0.003795262,0.00395233,0.00004120836,0.0002150508,0.00002558948,0.00001907931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7172738,"threshold_uncertainty_score":0.3664528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07685241304105435,"score_gpt":0.3964295150558356,"score_spread":0.3195771020147812,"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."}}