{"id":"W4200303709","doi":"10.1016/j.celrep.2021.110087","title":"Emerging connections between gut microbiome bioenergetics and chronic metabolic diseases","year":2021,"lang":"en","type":"review","venue":"Cell Reports","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":84,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Urological Oncology Group","keywords":"Metabolome; Microbiome; Biology; Bioenergetics; Metabolomics; Function (biology); Gut microbiome; Computational biology; Microbial metabolism; Bacteria; Cell biology; Genetics; Bioinformatics; Mitochondrion","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":[0.0001326664,0.0004224612,0.001171326,0.0001284139,0.000182571,0.00005680485,0.0001127726,0.0004226622,0.00004973503],"category_scores_gemma":[0.00004247927,0.0003941164,0.000439534,0.0002105961,0.00009897254,0.000002546046,0.0002620356,0.0002026296,0.000008278183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000343514,"about_ca_system_score_gemma":0.001015117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001781925,"about_ca_topic_score_gemma":0.00002023676,"domain_scores_codex":[0.9978439,0.000116298,0.0007200676,0.0008319832,0.00007854457,0.0004092121],"domain_scores_gemma":[0.9984499,0.0000194204,0.0005035465,0.0007159605,0.00008200073,0.0002292154],"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":[0.000002627352,0.0003010322,0.0006978046,0.03779144,0.001474925,0.0008518623,0.00004610185,0.000003189093,0.07693634,0.00005468851,0.04327555,0.8385645],"study_design_scores_gemma":[0.00007217494,0.00004163831,0.00005329193,0.0009179551,0.001171494,0.0005191737,0.000006789113,6.936819e-8,0.001484198,0.000003271356,0.9953287,0.0004012894],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0011975,0.9974422,0.00003800745,0.00002186774,0.0005441242,0.0003618417,0.0001570249,0.00002091136,0.0002164515],"genre_scores_gemma":[0.0006896341,0.9920987,0.0001406424,0.0000315858,0.0009156318,0.00003700845,0.003825563,0.00007972732,0.002181465],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9520531,"threshold_uncertainty_score":0.999851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01913540014018653,"score_gpt":0.3111571074472737,"score_spread":0.2920217073070871,"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."}}