{"id":"W2169409578","doi":"10.1093/carcin/bgn211","title":"American ginseng suppresses inflammation and DNA damage associated with mouse colitis","year":2008,"lang":"en","type":"article","venue":"Carcinogenesis","topic":"Ginseng Biological Effects and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"National Center for Research Resources; National Center for Complementary and Integrative Health; National Institute of Diabetes and Digestive and Kidney Diseases","keywords":"Colitis; American ginseng; Ginseng; Ulcerative colitis; Inflammation; Medicine; Pharmacology; Inflammatory bowel disease; DNA damage; Araliaceae; Oxidative stress; Colorectal cancer; Immunology; Internal medicine; Chemistry; Cancer; Pathology; Biochemistry; Disease; DNA","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":[0.0002109007,0.0006981808,0.0005255936,0.001182576,0.0002502347,0.0002721611,0.0002804694,0.0005682046,0.001520369],"category_scores_gemma":[0.000212653,0.0002632549,0.0003506396,0.0004613736,0.0003560684,0.000264613,0.000232095,0.001235468,0.0003108774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002294131,"about_ca_system_score_gemma":0.0003883511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000673018,"about_ca_topic_score_gemma":0.001231989,"domain_scores_codex":[0.9998091,0.0000427882,0.00002257185,0.0000286532,0.00004623556,0.00005067495],"domain_scores_gemma":[0.9997488,0.00002715441,0.00007877183,0.00003235476,0.00002837653,0.00008453643],"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":[0.001959658,0.0009754281,0.0003951433,0.0001147641,0.00002151661,0.00006945555,0.00003393944,0.0001458225,0.9915235,0.0001440488,0.0001182758,0.004498435],"study_design_scores_gemma":[0.0003836138,0.006953171,0.008134991,0.00004768047,0.00009037089,0.0002133754,0.00006893123,0.001281598,0.977866,0.0002599027,0.004684381,0.00001602449],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900479,0.003559627,0.002323769,0.000351898,0.0001394476,0.0001276364,0.0005671072,0.0003399364,0.002542537],"genre_scores_gemma":[0.9875733,0.003134258,0.002594907,0.0001873488,0.00004982109,0.0001682253,0.0007304185,0.00005692711,0.005504685],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001520369,"threshold_uncertainty_score":0.005086124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01133854763901655,"score_gpt":0.2140415063178427,"score_spread":0.2027029586788262,"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."}}