{"id":"W2770324903","doi":"10.1017/s0029665117003949","title":"Combining traditional dietary assessment methods with novel metabolomics techniques: present efforts by the Food Biomarker Alliance","year":2017,"lang":"en","type":"review","venue":"Proceedings of The Nutrition Society","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":144,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Bundesministerium für Ernährung und Landwirtschaft; Vlaamse regering; Bundesamt für Landwirtschaft; Ministero delle Politiche Agricole Alimentari e Forestali; Ministero dell’Istruzione, dell’Università e della Ricerca; Fonds Wetenschappelijk Onderzoek; Generalitat de Catalunya; Agence Nationale de la Recherche; Ministère de l’Agriculture, de l’Agroalimentaire et de la Forêt; Agència de Gestió d'Ajuts Universitaris i de Recerca; Canadian Institutes of Health Research; Centro de Investigación Biomédica en Red Fragilidad y Envejecimiento Saludable; World Health Organization","keywords":"Metabolomics; Biomarker; Alliance; Computational biology; Biotechnology; Computer science; Biology; Bioinformatics; Geography; Biochemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001099883,0.0004595083,0.001044223,0.00002340608,0.0005329057,0.0001016938,0.0009877913,0.0003585512,0.000003722332],"category_scores_gemma":[0.00005972947,0.0002567374,0.001083339,0.0001870946,0.0004889709,0.00001702776,0.0004345278,0.000433986,1.238207e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005862025,"about_ca_system_score_gemma":0.0001220394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003754514,"about_ca_topic_score_gemma":4.305137e-7,"domain_scores_codex":[0.9981688,0.00004094795,0.0005384095,0.0005771817,0.0003667982,0.0003078117],"domain_scores_gemma":[0.9979303,0.00006808937,0.001250625,0.0003947437,0.000301432,0.00005476876],"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":[0.0001232761,0.002591229,0.00007503782,0.02933602,0.01424228,2.621822e-7,0.0001638367,3.386037e-7,0.1774966,0.006075707,0.3600689,0.4098265],"study_design_scores_gemma":[0.0003991079,0.0002121309,0.00002690845,0.001542942,0.0009310741,0.00003179204,0.00009394524,0.000007112355,0.0150704,0.0003205569,0.9810461,0.0003178731],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001659173,0.9947749,0.0009078019,0.0005259597,0.0001850614,0.001656804,0.0007463209,0.00001994992,0.001017316],"genre_scores_gemma":[0.0002758833,0.9494608,0.04847978,0.0001034979,0.000279093,0.0009219787,0.0002070857,0.00005532743,0.0002165632],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.6209773,"threshold_uncertainty_score":0.9999885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.117560111873704,"score_gpt":0.3836397880008955,"score_spread":0.2660796761271914,"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."}}