{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001473996,0.0004847207,0.0003612846,0.0003537887,0.0001402095,0.0001938914,0.0001151706,0.0002791101,0.0008130745],"category_scores_gemma":[0.00009066491,0.0001624581,0.0002960423,0.000174469,0.0002320846,0.0001762265,0.0001467652,0.0005692258,0.00009802384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002582491,"about_ca_system_score_gemma":0.0002598877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001088966,"about_ca_topic_score_gemma":0.002048721,"domain_scores_codex":[0.9998904,0.00002547096,0.000007720377,0.00002584149,0.00002316474,0.00002740935],"domain_scores_gemma":[0.9998437,0.00001074873,0.00004925119,0.00001094197,0.00001542915,0.00006997095],"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":[0.004101617,0.0003030974,0.00158653,0.00006386489,0.0000266117,0.00007976604,0.00002057698,0.00004905525,0.9914294,0.00002740703,0.00002940093,0.00228265],"study_design_scores_gemma":[0.0005132768,0.01656335,0.150234,0.00003659183,0.0002268692,0.0005249084,0.0002425776,0.001753794,0.8274695,0.0001383795,0.002259392,0.00003746169],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988243,0.0005184372,0.0002285154,0.00004764394,0.00001093096,0.00001472486,0.0001211811,0.00001545985,0.0002187827],"genre_scores_gemma":[0.99598,0.0008386108,0.001171743,0.0001447388,0.000009929634,0.00003577668,0.0002864924,0.00001451104,0.001518107],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001088966,"threshold_uncertainty_score":0.002719998,"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."}}