{"id":"W2605514220","doi":"10.1016/j.foodres.2017.04.004","title":"Microbiota source impact in vitro metabolite colonic production and anti-proliferative effect of spent coffee grounds on human colon cancer cells (HT-29)","year":2017,"lang":"en","type":"article","venue":"Food Research International","topic":"Tea Polyphenols and Effects","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Consejo Nacional de Ciencia y Tecnología, Guatemala; Consejo Nacional de Ciencia y Tecnología","keywords":"In vitro; Metabolite; Colonic cancer; Cancer; Chemistry; Colorectal cancer; Cancer research; Pharmacology; Food science; Biology; Biochemistry; Medicine; Internal medicine","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":[0.00009560846,0.000295617,0.0002623301,0.0002102208,0.0002241747,0.0002840821,0.0001146321,0.0002303228,0.002551751],"category_scores_gemma":[0.0001255604,0.0001609314,0.0003371329,0.0002200014,0.000138366,0.0001542005,0.0002448586,0.0003531404,0.0003068545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001464053,"about_ca_system_score_gemma":0.0002646591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003088699,"about_ca_topic_score_gemma":0.005389003,"domain_scores_codex":[0.9998518,0.00003518422,0.00001332001,0.00002517387,0.00002475559,0.00004970433],"domain_scores_gemma":[0.9999206,0.00001925342,0.00001096073,0.00001008726,0.00001542171,0.00002368286],"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":[0.0009035575,0.0001196013,0.000774772,0.00007644005,0.00001210297,0.0001063784,0.00006694227,0.00005357405,0.9962536,0.00003015981,0.00007132121,0.001531524],"study_design_scores_gemma":[0.00003709529,0.002199233,0.0224326,0.00001909926,0.00008230176,0.0001672943,0.0002366626,0.0003394619,0.9722198,0.0000316545,0.002224559,0.00001031194],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971116,0.001015298,0.000187995,0.00007281447,0.00003525819,0.00001235198,0.0004786417,0.00001237606,0.001073673],"genre_scores_gemma":[0.9953516,0.0006053458,0.0004377773,0.000051537,0.00001156256,0.00001781873,0.0007287558,0.000008225914,0.002787447],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003088699,"threshold_uncertainty_score":0.008536518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07319770301077236,"score_gpt":0.4502580697508974,"score_spread":0.377060366740125,"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."}}