{"id":"W4391873427","doi":"10.1093/jcag/gwad061.186","title":"A186 INFLAMMATION MODIFIES DOSE-DEPENDENT RESPONSES OF INTESTINAL ANTI-TUMOUR MICRORNAS TO CRANBERRY PROANTHOCYANIDIN AND ITS MICROBIAL METABOLITE 3-(4-HYDROXYPHENYL)-PROPIONIC ACID","year":2024,"lang":"en","type":"article","venue":"Journal of the Canadian Association of Gastroenterology","topic":"Cancer, Lipids, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Proanthocyanidin; Metabolite; Chemistry; Inflammation; Pharmacology; microRNA; Food science; Antioxidant; Biochemistry; Medicine; Internal medicine; Polyphenol","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001487373,0.0002477331,0.0003293869,0.0001601924,0.0001209656,0.0002050415,0.0001303851,0.0002809865,0.002541093],"category_scores_gemma":[0.0001410701,0.000203603,0.0002979701,0.0001384041,0.0002508797,0.0001986002,0.0001563403,0.0007616575,0.0004237896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001848399,"about_ca_system_score_gemma":0.0001730527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004770608,"about_ca_topic_score_gemma":0.0008567488,"domain_scores_codex":[0.9997932,0.00003958006,0.00001745527,0.00005013658,0.00003759769,0.00006215664],"domain_scores_gemma":[0.9998946,0.00002213425,0.00002614991,0.00001046424,0.00001495101,0.00003179603],"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":[0.0005959194,0.00006277753,0.00008967603,0.00006627903,0.000003782349,0.00001777954,0.00001620383,0.0000161627,0.9985529,0.00001640066,0.00004530112,0.0005169035],"study_design_scores_gemma":[0.00006542178,0.001553638,0.009030229,0.00001110609,0.00002507391,0.0001032754,0.00006856523,0.0004490436,0.9864078,0.00002672188,0.002251464,0.000007754362],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940932,0.002793207,0.001034673,0.0001369544,0.00009098165,0.00004577743,0.0005076969,0.00005996083,0.001237497],"genre_scores_gemma":[0.9916912,0.001301853,0.001622839,0.000151789,0.000026346,0.0001668227,0.0007621905,0.00001507005,0.004261776],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002541093,"threshold_uncertainty_score":0.008500814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008404213025267709,"score_gpt":0.2317219448718709,"score_spread":0.2233177318466033,"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."}}