{"id":"W2187390928","doi":"10.1016/j.cmet.2015.11.006","title":"SCFAs Take a Toll En Route to Metabolic Syndrome","year":2015,"lang":"en","type":"letter","venue":"Cell Metabolism","topic":"Adipose Tissue and Metabolism","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"National Center for Complementary and Integrative Health; Canadian Institutes of Health Research","keywords":"TLR5; Metabolic syndrome; Dysbiosis; Mechanism (biology); Gut flora; Biology; Medicine; Bioinformatics; Immunology; Endocrinology; TLR2; Inflammation; Diabetes mellitus; TLR4","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","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.000971462,0.00156512,0.004207715,0.001301683,0.0001504462,0.000146901,0.001100227,0.002307085,0.00129121],"category_scores_gemma":[0.0003791892,0.001369793,0.0009364255,0.001066884,0.0001508656,0.0002642015,0.0004794532,0.00410332,0.009738798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001494355,"about_ca_system_score_gemma":0.001127914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003504314,"about_ca_topic_score_gemma":0.000008235103,"domain_scores_codex":[0.9925241,0.0004580267,0.001270068,0.001791755,0.002008885,0.001947178],"domain_scores_gemma":[0.9946641,0.0001560647,0.00047421,0.002701745,0.0006123988,0.00139146],"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":[0.00007010718,0.000132043,0.00002839932,0.0003199236,0.0005628458,0.005639146,0.0008762093,0.000002041111,0.001469668,0.000197986,0.9850745,0.005627114],"study_design_scores_gemma":[0.002593317,0.0001433135,0.002747026,0.0001808988,0.005255833,0.001630825,0.00005227034,0.000002912836,0.002323384,0.0003000913,0.9834266,0.001343493],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0437223,0.1872528,0.0003353243,0.6482429,0.01647194,0.007007931,0.001142076,0.00132837,0.09449638],"genre_scores_gemma":[0.003900412,0.001312719,0.00556424,0.6538495,0.02243193,0.0003916335,0.001162045,0.0006244497,0.3107631],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2162667,"threshold_uncertainty_score":0.9997097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02438568118165277,"score_gpt":0.2680484571192747,"score_spread":0.243662775937622,"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."}}