{"id":"W4283361565","doi":"10.3390/molecules27133999","title":"Optimization of Ultrasound-Assisted Extraction of Polyphenols from Ilex latifolia Using Response Surface Methodology and Evaluation of Their Antioxidant Activity","year":2022,"lang":"en","type":"article","venue":"Molecules","topic":"Free Radicals and Antioxidants","field":"Chemistry","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Wannan Medical College; National Natural Science Foundation of China; Anhui University; Leukemia and Lymphoma Society of Canada","keywords":"ABTS; Polyphenol; Chemistry; Antioxidant; Response surface methodology; DPPH; Malondialdehyde; Extraction (chemistry); Glutathione peroxidase; Superoxide dismutase; Chromatography; Biochemistry; Food science; Hydroxyl radical; Radical","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003881066,0.0005210921,0.0004130197,0.0004297403,0.0001450432,0.0003332394,0.000204961,0.0003317065,0.0003931934],"category_scores_gemma":[0.0002629799,0.0001829375,0.0003900903,0.0003606064,0.00017616,0.0002826009,0.0002266921,0.0003807075,0.0001733472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001833697,"about_ca_system_score_gemma":0.0001760619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003816074,"about_ca_topic_score_gemma":0.0008986113,"domain_scores_codex":[0.99981,0.0000458121,0.00002028931,0.00003220316,0.00006618342,0.00002559778],"domain_scores_gemma":[0.9999043,0.0000272231,0.00002940102,0.000004809711,0.00002385499,0.0000104122],"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":[0.00003452402,0.00002519761,0.00009928963,0.0000692379,0.000005552744,0.00002504591,0.0000103122,0.0001596621,0.9976842,0.00001175056,0.000007657198,0.001867542],"study_design_scores_gemma":[0.00001127609,0.0003435222,0.002917951,0.000009553866,0.00001926337,0.0000595187,0.00002772868,0.001652456,0.9940502,0.00001459822,0.0008844114,0.000009485585],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900981,0.001779252,0.007256952,0.00007849712,0.00001190016,0.00007532124,0.0001041054,0.00004620173,0.0005496435],"genre_scores_gemma":[0.9752913,0.001853618,0.02054191,0.000092307,0.00001027245,0.000174902,0.0003947824,0.00003091266,0.001610172],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005210921,"threshold_uncertainty_score":0.002052486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08917070208630859,"score_gpt":0.3353143271628202,"score_spread":0.2461436250765116,"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."}}