{"id":"W2888147176","doi":"10.1152/ajpendo.00058.2018","title":"Considerations for best practices in studies of fiber or other dietary components and the intestinal microbiome","year":2018,"lang":"en","type":"article","venue":"American Journal of Physiology-Endocrinology and Metabolism","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; University of Guelph","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Cancer Institute","keywords":"Microbiome; Observational study; Gut microbiome; Dietary fiber; Best practice; Clinical study design; Variety (cybernetics); Human Microbiome Project; Biology; Biotechnology; Data science; Computer science; Bioinformatics; Human microbiome; Medicine; Pathology; Food science; Clinical trial","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.6920944,0.004596904,0.009244666,0.01243297,0.006823396,0.02733637,0.01725773,0.02595891,0.00581176],"category_scores_gemma":[0.6553769,0.004509315,0.0105591,0.01087178,0.02449986,0.02983394,0.01828597,0.03953365,0.004538246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01276378,"about_ca_system_score_gemma":0.05141428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008027653,"about_ca_topic_score_gemma":0.0167646,"domain_scores_codex":[0.3709918,0.4922299,0.07141481,0.01280044,0.04760762,0.004955356],"domain_scores_gemma":[0.1622872,0.632259,0.02812376,0.04572394,0.1142621,0.017344],"domain_codex":"methods","domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001920033,0.0008901553,0.002707559,0.06227008,0.002406751,0.001098783,0.02343977,0.001951461,0.002547298,0.05161146,0.28044,0.5687166],"study_design_scores_gemma":[0.001419089,0.001331572,0.005062953,0.1751669,0.002282623,0.0007235771,0.01875129,0.001127425,0.001963784,0.2138803,0.5774692,0.0008211684],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.001092183,0.1382463,0.03051152,0.7929181,0.0299734,0.001978786,0.0003796341,0.0004544761,0.004445611],"genre_scores_gemma":[0.01751391,0.1087775,0.5246401,0.3123643,0.01856695,0.01364435,0.0004401765,0.0006290822,0.003423581],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6920944,"threshold_uncertainty_score":0.3797024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0699688560855873,"score_gpt":0.36537930294732,"score_spread":0.2954104468617327,"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."}}