{"id":"W2103870459","doi":"10.1016/s0304-4165(00)00109-4","title":"Polyphenolics enhance red blood cell resistance to oxidative stress: in vitro and in vivo1Mention of trade name, proprietary product, or specific equipment does not constitute a guarantee by the US Department of Agriculture and does not imply its approval to the exclusion of other products that may be suitable.1","year":2000,"lang":"en","type":"article","venue":"Biochimica et Biophysica Acta (BBA) - General Subjects","topic":"Phytochemicals and Antioxidant Activities","field":"Medicine","cited_by":183,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"U.S. Department of Agriculture","keywords":"Polyphenol; Reactive oxygen species; In vivo; Oxidative stress; Chemistry; Antioxidant; Food science; Hydroxycinnamic acid; Red blood cell; In vitro; Biochemistry; Biology; Biotechnology","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":[0.0004549504,0.0007058464,0.0005346671,0.0004611786,0.0002816973,0.0004603908,0.0003231048,0.0004129762,0.002984206],"category_scores_gemma":[0.0004310618,0.0002333393,0.0006157461,0.0003051944,0.0003963492,0.0003071396,0.0002508314,0.0008552253,0.0005635612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002531747,"about_ca_system_score_gemma":0.0002961403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001168334,"about_ca_topic_score_gemma":0.001826286,"domain_scores_codex":[0.9998217,0.00007102147,0.00001332743,0.00002320357,0.00003025432,0.00004043683],"domain_scores_gemma":[0.9995963,0.0001122065,0.00008398479,0.00005830603,0.00005766754,0.00009156805],"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":[0.01252825,0.002897174,0.0006330739,0.0004196833,0.0001669821,0.0001340532,0.0001327732,0.0001864344,0.9690092,0.0001964263,0.0006985003,0.01299729],"study_design_scores_gemma":[0.000692148,0.02682437,0.01062709,0.00004589333,0.0003476607,0.0002637028,0.00006536295,0.0004665298,0.9564209,0.0001457972,0.004081331,0.00001925422],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884579,0.007521349,0.001444998,0.0003015444,0.0001957992,0.00009281043,0.0002742275,0.0001011849,0.001610144],"genre_scores_gemma":[0.9848375,0.006523973,0.002573668,0.0002511431,0.0002049934,0.00007064905,0.0008058193,0.0000503009,0.004682027],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002984206,"threshold_uncertainty_score":0.009983122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01283719753221307,"score_gpt":0.2371415194851435,"score_spread":0.2243043219529304,"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."}}