{"id":"W3049671276","doi":"10.3390/microorganisms8081238","title":"Impact of Cyanidin-3-Glucoside on Gut Microbiota and Relationship with Metabolism and Inflammation in High Fat-High Sucrose Diet-Induced Insulin Resistant Mice","year":2020,"lang":"en","type":"article","venue":"Microorganisms","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"University of Manitoba; Canadian Diabetes Association","keywords":"Insulin resistance; Gut flora; Firmicutes; Dysbiosis; Endocrinology; Prebiotic; Internal medicine; Lipid metabolism; Bacteroidetes; Carbohydrate metabolism; Biology; Insulin; Diet-induced obese; Inflammation; Metabolic syndrome; Diabetes mellitus; Chemistry; Food science; Immunology; Bacteria; Medicine; 16S ribosomal RNA; Genetics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001388808,0.0002457648,0.0003118161,0.00008546735,0.0000938851,0.00003774486,0.0001136311,0.0002220257,0.00001171928],"category_scores_gemma":[0.00007535189,0.0002104012,0.00004054023,0.0002132449,0.00008534919,0.00001209223,0.00009210993,0.0002022309,0.000007181389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003606991,"about_ca_system_score_gemma":0.0001244947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005633414,"about_ca_topic_score_gemma":0.0003322956,"domain_scores_codex":[0.9987404,0.0001022152,0.0003605181,0.0004556794,0.00007526921,0.0002658682],"domain_scores_gemma":[0.9993525,0.00002966304,0.0001812837,0.000226475,0.00007516577,0.0001349531],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001147656,0.00004725627,0.009447909,0.00006746501,0.00004067703,0.000005109718,0.0004941474,0.00001112895,0.9882714,0.0002102243,0.0001361076,0.000120949],"study_design_scores_gemma":[0.001384574,0.000875274,0.4398676,0.00003148732,0.0000217784,0.000008397233,0.00005324678,0.000001717162,0.5574117,0.00003454848,0.0001499049,0.0001597233],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998096,0.0005523215,0.00003836869,0.0007870122,0.00002758451,0.0003494007,0.0001135858,0.00001206947,0.00002361439],"genre_scores_gemma":[0.9980726,0.0001429344,0.00120409,0.0002297668,0.00008955308,0.000004791554,0.00018454,0.00003897164,0.00003279959],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4308596,"threshold_uncertainty_score":0.8579913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01125862794495416,"score_gpt":0.2383126510167224,"score_spread":0.2270540230717682,"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."}}