{"id":"W2328814505","doi":"10.1016/j.tem.2016.03.001","title":"The Fiber Gap and the Disappearing Gut Microbiome: Implications for Human Nutrition","year":2016,"lang":"en","type":"article","venue":"Trends in Endocrinology and Metabolism","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":219,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Microbiome; Gut microbiome; Intestinal Microbiome; Incentive; Human microbiome; Biology; Dietary fiber; Human health; Immunology; Medicine; Bioinformatics; Environmental health; Food science; Economics","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":[0.000143233,0.00009597556,0.000127898,0.00005057288,0.0003442794,0.00001495886,0.0001105622,0.00007341235,0.000005501559],"category_scores_gemma":[0.00002246433,0.00004843243,0.00004359712,0.00004970032,0.0004574646,0.000003710496,0.00008689014,0.0000609822,0.000001379065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004367414,"about_ca_system_score_gemma":0.00000939012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002724764,"about_ca_topic_score_gemma":0.0002044656,"domain_scores_codex":[0.9992499,0.00007034039,0.0001564715,0.0002256682,0.00001409228,0.0002834669],"domain_scores_gemma":[0.999618,0.00006181544,0.00004880792,0.0002195838,0.00002239275,0.00002943229],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001256528,0.00003815625,0.0007458538,0.00001197877,0.00003894929,2.099073e-7,0.00007137787,6.076464e-8,0.7845309,0.09112572,0.003250478,0.1200607],"study_design_scores_gemma":[0.005338803,0.00004544143,0.1626959,0.00001195432,0.00004096633,0.00007707263,0.00004366643,3.917424e-7,0.01024172,0.008281634,0.8130927,0.0001297294],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9522803,0.01793069,0.0001676332,0.02787639,0.0001751467,0.0004020745,0.00008528171,0.00001411687,0.001068404],"genre_scores_gemma":[0.9896346,0.005634174,0.0001591443,0.0002736702,0.0001571967,0.0001897315,0.00003580741,0.000009962325,0.003905723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8098422,"threshold_uncertainty_score":0.2647954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02126526831111985,"score_gpt":0.3157654944424769,"score_spread":0.2945002261313571,"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."}}