{"id":"W3115117569","doi":"10.1111/jfbc.13587","title":"In vitro antioxidant and antihypertensive properties of sesame seed enzymatic protein hydrolysate and ultrafiltration peptide fractions","year":2020,"lang":"en","type":"article","venue":"Journal of Food Biochemistry","topic":"Protein Hydrolysis and Bioactive Peptides","field":"Biochemistry, Genetics and Molecular Biology","cited_by":84,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Hydrolysate; Ultrafiltration (renal); Antioxidant; Peptide; Enzyme; Chemistry; In vitro; Food science; Biochemistry; Enzymatic hydrolysis; Chromatography; Hydrolysis","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":[0.0002698265,0.0004644359,0.0002914742,0.0001791858,0.00009060752,0.0001758418,0.0001017536,0.0001936062,0.0005656244],"category_scores_gemma":[0.0001974695,0.0001095341,0.0002936468,0.000163621,0.0001195263,0.0001767416,0.0001135699,0.000432533,0.0001276497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001050694,"about_ca_system_score_gemma":0.0001154027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004623353,"about_ca_topic_score_gemma":0.0007503112,"domain_scores_codex":[0.9998868,0.0000221882,0.00001218435,0.00001874416,0.00003978279,0.00002031338],"domain_scores_gemma":[0.9998609,0.00003773386,0.00003797197,0.00000955552,0.0000314796,0.00002231254],"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":[0.0001270753,0.00002947266,0.0001583688,0.00003140432,0.000009689012,0.00001945614,0.00001045648,0.00002192684,0.9990501,0.000007304254,0.000003661328,0.0005311868],"study_design_scores_gemma":[0.00001932669,0.0010802,0.01117684,0.000007966256,0.00004671213,0.0001566788,0.00002728114,0.0003335912,0.9864395,0.00001686283,0.0006906457,0.000004479887],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956061,0.002638083,0.001231784,0.00002733442,0.00001675538,0.0000164979,0.0001116134,0.000008265138,0.0003436025],"genre_scores_gemma":[0.9932309,0.001696318,0.002908502,0.0000670131,0.0000212616,0.00002718072,0.0007783507,0.000009765437,0.001260612],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005656244,"threshold_uncertainty_score":0.001892209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01243283568617481,"score_gpt":0.208974581794462,"score_spread":0.1965417461082872,"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."}}