{"id":"W4403690029","doi":"10.1002/fsn3.4532","title":"Improved Antioxidant, Antihypertensive, and Antidiabetic Activities and Tailored Emulsion Stability and Foaming Properties of Mixture of Corn Gluten and Soy Protein Hydrolysates Via Enzymatic Processing and Fractionation","year":2024,"lang":"en","type":"article","venue":"Food Science & Nutrition","topic":"Protein Hydrolysis and Bioactive Peptides","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Tarbiat Modares University","keywords":"Hydrolysate; Chemistry; Antioxidant; Fractionation; ABTS; Ultrafiltration (renal); DPPH; Food science; Hydrolysis; Enzymatic hydrolysis; Emulsion; Soy protein; Chromatography; Corn gluten meal; Gluten; Functional food; Biochemistry; Organic chemistry; Soybean meal","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":[0.0001563101,0.0004100626,0.0001957852,0.00036503,0.00008884738,0.0002346523,0.0001294226,0.0002638501,0.0003747685],"category_scores_gemma":[0.0001288242,0.0001159437,0.0002881149,0.000224745,0.0001060308,0.0002683252,0.0001835109,0.0003542884,0.0001097574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001262489,"about_ca_system_score_gemma":0.0001269307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004438482,"about_ca_topic_score_gemma":0.000876699,"domain_scores_codex":[0.9998968,0.00001136674,0.00001115584,0.000023041,0.00003186798,0.00002573686],"domain_scores_gemma":[0.9999443,0.0000053507,0.00002148507,0.000003160639,0.00001474687,0.00001093161],"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":[0.00005237604,0.00001221692,0.0001352462,0.00002854319,0.000007234406,0.00002354471,0.000005337181,0.00004320415,0.9985448,0.000023413,0.000006529162,0.0011175],"study_design_scores_gemma":[0.000007527398,0.0002056695,0.002979225,0.000005478938,0.0000318261,0.0001007566,0.00001498457,0.0007549399,0.9949145,0.00002018708,0.0009595841,0.000005395919],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937292,0.001835877,0.00373697,0.00003795433,0.00001361056,0.000014365,0.00009654718,0.00003723379,0.0004981299],"genre_scores_gemma":[0.9946074,0.0007630282,0.003527659,0.00003002149,0.000005975724,0.00001487624,0.0001786755,0.00001254437,0.0008598443],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004438482,"threshold_uncertainty_score":0.001253724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01080907388649991,"score_gpt":0.2186426017521648,"score_spread":0.2078335278656649,"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."}}