{"id":"W2164471504","doi":"10.1021/jf404263k","title":"Quantification of Individual Phenolic Compounds’ Contribution to Antioxidant Capacity in Apple: A Novel Analytical Tool Based on Liquid Chromatography with Diode Array, Electrochemical, and Charged Aerosol Detection","year":2013,"lang":"en","type":"article","venue":"Journal of Agricultural and Food Chemistry","topic":"Phytochemicals and Antioxidant Activities","field":"Medicine","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Chlorogenic acid; Chemistry; Chromatography; Flavonols; Protocatechuic acid; High-performance liquid chromatography; Quercetin; Antioxidant; Phenolic acid; Hyperoside; Chromatography detector; Catechin; Polyphenol; Organic chemistry","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":[0.0007079412,0.0007926112,0.0005676102,0.001462615,0.0002520757,0.0005164632,0.0005213579,0.000930633,0.0005230922],"category_scores_gemma":[0.0006993951,0.0003777922,0.0003509081,0.0006836349,0.0003238135,0.0006697675,0.0004026479,0.0007652558,0.0002183334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002658445,"about_ca_system_score_gemma":0.0003569895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002810688,"about_ca_topic_score_gemma":0.0007971704,"domain_scores_codex":[0.9991913,0.0001844501,0.00005192929,0.0002478284,0.0002854183,0.00003906468],"domain_scores_gemma":[0.9995717,0.0001590618,0.00007114476,0.00003808744,0.0001244551,0.00003560841],"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":[0.00005143306,0.00004610649,0.001178475,0.0001420089,0.00003975284,0.00003425657,0.00002011414,0.00005915473,0.9830099,0.00007637536,0.00003870533,0.0153037],"study_design_scores_gemma":[0.00002498396,0.0005188722,0.0138177,0.00001684026,0.0001270418,0.0009773654,0.00003442698,0.004364342,0.9777367,0.0001781249,0.002163733,0.00003995873],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7758253,0.03046846,0.1892284,0.0002817003,0.000286823,0.0003057527,0.0006489972,0.0006281227,0.002326703],"genre_scores_gemma":[0.819433,0.006830998,0.1699367,0.0003480708,0.0001803974,0.0002596851,0.0005711071,0.00002881625,0.002411258],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001462615,"threshold_uncertainty_score":0.003744006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01417438356565725,"score_gpt":0.2091888108235357,"score_spread":0.1950144272578785,"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."}}