{"id":"W3170968141","doi":"10.1016/j.phanu.2021.100273","title":"Catechin and other catechol-containing secondary metabolites: Bacterial biotransformation and regulation of carbohydrate metabolism","year":2021,"lang":"en","type":"article","venue":"PharmaNutrition","topic":"Tea Polyphenols and Effects","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Arthritis Society; Colorado Mesa University; University of Windsor","keywords":"Catechol; Biotransformation; Context (archaeology); Catechin; Chemistry; Biochemistry; Metabolite; Metabolism; Food science; Polyphenol; Carbohydrate metabolism; Biology; Enzyme; Antioxidant","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":[],"consensus_categories":[],"category_scores_codex":[0.0001891985,0.0001069044,0.0002479411,0.0001097798,0.00005016134,0.00002535701,0.00001544018,0.00006874246,0.00008841423],"category_scores_gemma":[0.00001788407,0.0001025347,0.000037126,0.000128275,0.00004037264,0.0002474682,0.00001368844,0.0001034197,0.000001704392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001223292,"about_ca_system_score_gemma":0.0000367331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009268655,"about_ca_topic_score_gemma":0.000007925303,"domain_scores_codex":[0.9993131,0.00006469376,0.0002327986,0.0001624929,0.0001067081,0.0001202444],"domain_scores_gemma":[0.9996623,0.0000249542,0.00007680471,0.00009446673,0.00007131915,0.00007014185],"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":[0.0002178072,0.00005597329,0.0003796559,0.0003839899,0.00005010205,0.000003672499,0.0006814065,5.063879e-7,0.9858405,0.000603313,0.00004133899,0.01174172],"study_design_scores_gemma":[0.003658989,0.00006633081,0.03848113,0.0001295045,0.0002677143,0.00008247071,0.0001156386,0.0005018256,0.9497627,0.0005693815,0.006251553,0.0001127839],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942477,0.00415394,0.0002322728,0.0003891972,0.0001350052,0.0002684218,0.00005778724,0.00004044974,0.00047522],"genre_scores_gemma":[0.9982985,0.0003815352,0.0007140827,0.0001991914,0.0001719903,0.00001686048,0.0001747012,0.0000147958,0.00002833198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03810148,"threshold_uncertainty_score":0.4181244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01760553334118995,"score_gpt":0.2686081598539658,"score_spread":0.2510026265127758,"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."}}