{"id":"W4385442769","doi":"10.1021/acs.jafc.3c02696","title":"Anthocyanin-Rich Butterfly Pea Flower Extract Ameliorating Low-Grade Inflammation in a High-Fat-Diet and Lipopolysaccharide-Induced Mouse Model","year":2023,"lang":"en","type":"article","venue":"Journal of Agricultural and Food Chemistry","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of Guelph","funders":"Natural Science Foundation of Jiangxi Province","keywords":"Gut flora; Lipopolysaccharide; Bile acid; Anthocyanin; Proinflammatory cytokine; Inflammation; Lipid metabolism; Tumor necrosis factor alpha; Biology; Biochemistry; Akkermansia; Chemistry; Endocrinology; Internal medicine; Immunology; Food science; Medicine; Lactobacillus; Fermentation","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":[0.0001450722,0.0005736874,0.0003501155,0.0006197058,0.000175563,0.0002214658,0.0001516835,0.0003440403,0.001474825],"category_scores_gemma":[0.00007077149,0.0001463894,0.0003478084,0.000161831,0.000202114,0.0002759008,0.0001759552,0.0007168596,0.0001617585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001769784,"about_ca_system_score_gemma":0.0002246184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006462744,"about_ca_topic_score_gemma":0.001546668,"domain_scores_codex":[0.9999067,0.00001896732,0.000007420826,0.00001830171,0.00002070658,0.00002787693],"domain_scores_gemma":[0.9999254,0.00000493216,0.00002355638,0.00000626445,0.00001036541,0.00002940333],"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":[0.002073698,0.0005737327,0.0005317575,0.0002191252,0.00003789119,0.0001226184,0.00002845409,0.0001187263,0.990741,0.00009352669,0.0001346145,0.005324861],"study_design_scores_gemma":[0.0003895202,0.009833344,0.02486173,0.0000640479,0.0002211418,0.0003534001,0.0001262437,0.001916777,0.9554932,0.0002732751,0.00644618,0.00002128328],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930401,0.002816189,0.002043676,0.000305623,0.00008989798,0.00005544209,0.0003792092,0.0001390329,0.001130868],"genre_scores_gemma":[0.9904748,0.002210125,0.00203813,0.0001837465,0.00002877869,0.00007056226,0.0003797056,0.00002288463,0.004591309],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001474825,"threshold_uncertainty_score":0.004933774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01219556777188689,"score_gpt":0.2362311758109502,"score_spread":0.2240356080390633,"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."}}