{"id":"W2952437732","doi":"10.1186/s40168-019-0704-8","title":"Macronutrient metabolism by the human gut microbiome: major fermentation by-products and their impact on host health","year":2019,"lang":"en","type":"review","venue":"Microbiome","topic":"Diet and metabolism studies","field":"Medicine","cited_by":1356,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"National Institute of Allergy and Infectious Diseases; National Institutes of Health","keywords":"Microbiome; Biology; Metabolism; Biochemistry; Microbial metabolism; Human health; Fermentation; Metabolite; Human microbiome; Bacteria; Bioinformatics; Medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.0004222868,0.0006015346,0.00101649,0.002013755,0.0002239916,0.001050374,0.0003843908,0.0007271806,0.003077461],"category_scores_gemma":[0.0008966736,0.0001755632,0.0005198878,0.002304328,0.0003132166,0.0009501617,0.0006430259,0.0007608609,0.0009080488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004522872,"about_ca_system_score_gemma":0.001252643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00155652,"about_ca_topic_score_gemma":0.002088467,"domain_scores_codex":[0.9997903,0.00004505582,0.00003896182,0.00003865807,0.00006717595,0.00001988823],"domain_scores_gemma":[0.9996872,0.0001625721,0.00005889211,0.000007844174,0.00006465357,0.0000188418],"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":[0.000105852,0.00004098834,0.0007196838,0.043707,0.0002493725,0.0001773986,0.0001360957,0.0002418683,0.002287841,0.002613447,0.01383006,0.9358904],"study_design_scores_gemma":[0.0000124753,0.0001173124,0.005734887,0.01874061,0.0004616792,0.001744402,0.0002547807,0.0001278039,0.0009900376,0.002638042,0.9691463,0.00003160383],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002200577,0.9988196,0.00008016621,0.0002109049,0.00008843271,0.000002383626,0.00003060577,0.000004886022,0.0005429441],"genre_scores_gemma":[0.001000694,0.9984927,0.0001206228,0.00008677584,0.00005468794,0.000003347724,0.00002721082,8.916631e-7,0.0002129733],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003077461,"threshold_uncertainty_score":0.01029509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03589647946984997,"score_gpt":0.3532896805283702,"score_spread":0.3173932010585202,"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."}}