{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002407083,0.000248982,0.0005236279,0.0001450002,0.0001648488,0.00003171094,0.0003829703,0.000428382,0.00001742988],"category_scores_gemma":[0.0001230515,0.000183953,0.00008018373,0.0004097321,0.0006119852,0.0001282451,0.0001228445,0.0002902992,0.000007427531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004509022,"about_ca_system_score_gemma":0.00002576514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006045018,"about_ca_topic_score_gemma":0.00007207799,"domain_scores_codex":[0.9983337,0.0001903531,0.0005355851,0.0003524743,0.0002436542,0.000344223],"domain_scores_gemma":[0.998519,0.00009344095,0.0005091389,0.00064271,0.0001759393,0.00005976762],"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":[0.0001452715,0.00005608556,0.0004209098,0.00008872568,0.0001011559,0.000001036983,0.004053222,0.000003560361,0.9895852,0.001829204,0.0001898003,0.003525892],"study_design_scores_gemma":[0.0006464223,0.0002286443,0.005692536,0.0001845465,0.0003347866,0.00004955497,0.001303848,0.0002423361,0.9828851,0.0005050062,0.007699359,0.0002278705],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922106,0.004615677,0.0003134212,0.000187435,0.001350836,0.0003624162,0.0002304971,0.00009360051,0.0006354759],"genre_scores_gemma":[0.9938695,0.00003015171,0.005400588,0.00008325921,0.0005407631,0.000003687054,0.00001626484,0.00004046952,0.00001533341],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007509559,"threshold_uncertainty_score":0.7501386,"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."}}