{"id":"W2917767151","doi":"10.1139/apnm-2017-0834","title":"Nephroprotective and antioxidant effect of green tea (<i>Camellia sinensis</i>) against nicotine-induced nephrotoxicity in rats and characterization of its bioactive compounds by HPLC–DAD","year":2019,"lang":"en","type":"article","venue":"Applied Physiology Nutrition and Metabolism","topic":"Tea Polyphenols and Effects","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Malondialdehyde; Superoxide dismutase; Nicotine; Antioxidant; Chemistry; Catalase; Pharmacology; Oxidative stress; Camellia sinensis; Creatinine; Uric acid; Glutathione peroxidase; Nephrotoxicity; Kidney; Blood urea nitrogen; Toxicity; Glutathione; Green tea extract; Food science; Biochemistry; Medicine; Green tea; Biology; Internal medicine; Botany; Enzyme","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001741814,0.000238652,0.0008908598,0.0001611479,0.00003833669,0.000006148713,0.00003657872,0.0002025458,0.000004914203],"category_scores_gemma":[0.00001369635,0.0001995048,0.00004554992,0.0002150353,0.0001682522,0.00009481426,0.00005077982,0.0002140434,0.00000207876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001165728,"about_ca_system_score_gemma":0.00001613196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006645753,"about_ca_topic_score_gemma":0.000002055838,"domain_scores_codex":[0.99885,0.0001500449,0.0003087547,0.0003778204,0.0001082942,0.0002050148],"domain_scores_gemma":[0.9993439,0.0001124066,0.0002356617,0.0001524554,0.0000676862,0.00008786978],"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":[0.001256572,0.0002686688,0.0006335716,0.0007939847,0.00007739889,6.749066e-7,0.0002380565,1.030262e-7,0.9895321,0.0003259541,0.0000106127,0.006862336],"study_design_scores_gemma":[0.005307221,0.0002213174,0.3833576,0.0001280001,0.00006460507,0.000004513221,0.00003908622,0.00008714991,0.6103695,0.0000614339,0.0002485545,0.000111018],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966238,0.000811298,0.000006316658,0.0001086207,0.00005901778,0.002242514,0.00006734167,0.00002058351,0.00006057242],"genre_scores_gemma":[0.9981174,0.001289272,0.00005262195,0.0002331435,0.00006295909,0.0001058036,0.000106745,0.00001930542,0.00001276202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.382724,"threshold_uncertainty_score":0.8135571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005757865167023882,"score_gpt":0.225586372240559,"score_spread":0.2198285070735351,"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."}}