{"id":"W3005041731","doi":"10.1111/nbu.12416","title":"The FiberTAG project: Tagging dietary fibre intake by measuring biomarkers related to the gut microbiota and their interest for health","year":2020,"lang":"en","type":"article","venue":"Nutrition Bulletin","topic":"Diet and metabolism studies","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Canadian Institutes of Health Research; Service Public de Wallonie; Bundesministerium für Bildung und Forschung; Agence Nationale de la Recherche","keywords":"Gut flora; Dietary fibre; Observational study; Psychological intervention; Medicine; Food science; Obesity; Environmental health; Gerontology; Biology; Internal medicine; Immunology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003705058,0.0001650602,0.0002682685,0.00003574599,0.0004524999,0.00005019701,0.0001059199,0.00004911287,0.00001550453],"category_scores_gemma":[0.0002391179,0.00009196992,0.00009299617,0.0001683403,0.00008559111,0.00001721849,0.00008435437,0.0001674425,0.00001912682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002840288,"about_ca_system_score_gemma":0.00003068595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004602067,"about_ca_topic_score_gemma":0.00002554084,"domain_scores_codex":[0.9990004,0.00007386605,0.0002875109,0.0002721795,0.00008251236,0.0002835428],"domain_scores_gemma":[0.9993848,0.0001888631,0.00008375051,0.000154251,0.00007324004,0.0001151533],"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":[0.000591896,0.00006290057,0.00005233728,0.0003288896,0.000147668,0.000001115732,0.003113074,1.069464e-7,0.02137826,0.00004312795,0.9563065,0.0179741],"study_design_scores_gemma":[0.001404322,0.0003127464,0.001103585,0.0003944047,0.00003330963,0.00001038071,0.003918725,0.00002248814,0.000999507,0.00002362999,0.9916728,0.0001041685],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.06512123,0.01767499,0.0000608182,0.9135686,0.0002642914,0.002593399,0.0001382254,0.0001037509,0.0004746787],"genre_scores_gemma":[0.9527063,0.006889445,0.001350786,0.03661199,0.0004834274,0.0005432655,0.0001843351,0.00007435613,0.001156148],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.887585,"threshold_uncertainty_score":0.3750424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04374497442855564,"score_gpt":0.2797199057143558,"score_spread":0.2359749312858002,"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."}}