{"id":"W2783792039","doi":"10.3390/foods7010008","title":"Absorption and Metabolism of Phenolics from Digests of Polyphenol-Rich Potato Extracts Using the Caco-2/HepG2 Co-Culture System","year":2018,"lang":"en","type":"article","venue":"Foods","topic":"Microbial Metabolites in Food Biotechnology","field":"Nursing","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Fowler Kennedy Sport Medicine Clinic; McGill University","funders":"","keywords":"Ferulic acid; Chemistry; Metabolism; Caffeic acid; Biotransformation; Polyphenol; Biochemistry; Microbial metabolism; Digestion (alchemy); Phenolic acid; Chlorogenic acid; Secondary metabolism; Cinnamic acid; Coumaric acid; Caco-2; Food science; Biology; Chromatography; Bacteria; Enzyme; Biosynthesis; Antioxidant; In vitro","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":[0.0002161816,0.0003365943,0.000418648,0.0001808156,0.0002100903,0.0003248837,0.0001640116,0.0002649811,0.0006252246],"category_scores_gemma":[0.0001255628,0.0001892874,0.0003066278,0.0002867896,0.0001696081,0.0002017763,0.0002104055,0.0004220059,0.0004557562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002427683,"about_ca_system_score_gemma":0.0002306712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003046932,"about_ca_topic_score_gemma":0.003923949,"domain_scores_codex":[0.9998158,0.00004698051,0.00002335475,0.00004385785,0.00004018479,0.00002987266],"domain_scores_gemma":[0.9998931,0.00002611943,0.00001868797,0.00002766732,0.00002042996,0.00001399293],"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":[0.0001854671,0.00003033592,0.0002397898,0.0000412725,0.000005038984,0.00006513208,0.00001758325,0.0001017716,0.9988515,0.00001763797,0.00002145907,0.0004229247],"study_design_scores_gemma":[0.000018502,0.0002951711,0.004161808,0.000005203443,0.00003230153,0.0002397007,0.00004696879,0.002240434,0.991816,0.00001702259,0.001117532,0.000009473358],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887202,0.001286877,0.006679782,0.0001033381,0.0000340487,0.00005290037,0.001029977,0.0001293083,0.001963506],"genre_scores_gemma":[0.9839188,0.001139803,0.00940199,0.00005820448,0.00001753905,0.00008548482,0.001712697,0.00004150184,0.003623895],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003046932,"threshold_uncertainty_score":0.006058395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01885840315071308,"score_gpt":0.2835543101609809,"score_spread":0.2646959070102679,"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."}}