{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000150448,0.0003276705,0.000136047,0.0002326223,0.0002144495,0.0004467885,0.0001137764,0.0003767374,0.0008904685],"category_scores_gemma":[0.0001130954,0.0001059933,0.0002523041,0.0001801925,0.0002074782,0.0003184376,0.0001893426,0.0003137905,0.0001417598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005584222,"about_ca_system_score_gemma":0.0002918277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002140259,"about_ca_topic_score_gemma":0.003520895,"domain_scores_codex":[0.9999156,0.00002222296,0.000002777426,0.0000149143,0.00001240973,0.00003206313],"domain_scores_gemma":[0.9999115,0.00001610191,0.00002140236,0.000008613656,0.00001758482,0.00002465752],"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":[0.0007002967,0.00006126755,0.003455049,0.00006384534,0.00002410839,0.0001209221,0.0000497162,0.0002101914,0.9866914,0.0005917305,0.00008508211,0.007946438],"study_design_scores_gemma":[0.00002517837,0.0007875576,0.1078667,0.00002389412,0.00005286829,0.0003901438,0.0002401945,0.001991813,0.8820881,0.0007919176,0.005720009,0.00002175265],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9785661,0.0144132,0.003393755,0.0005824376,0.00005027598,0.0000240842,0.0002330243,0.00002499436,0.002712143],"genre_scores_gemma":[0.9928989,0.00329047,0.000892294,0.00009485444,0.00002248893,0.000009048101,0.0001212535,0.000005016062,0.002665621],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002140259,"threshold_uncertainty_score":0.004255652,"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."}}