{"id":"W3135802790","doi":"10.3390/molecules26061515","title":"Functional Characterization of Mung Bean Meal Protein-Derived Antioxidant Peptides","year":2021,"lang":"en","type":"article","venue":"Molecules","topic":"Protein Hydrolysis and Bioactive Peptides","field":"Biochemistry, Genetics and Molecular Biology","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Thailand Science Research and Innovation; King Mongkut's University of Technology North Bangkok; King Mongkut's University of Technology Thonburi","keywords":"Antioxidant; Mung bean; Food science; Meal; Chemistry; Functional food; Biochemistry; Peptide; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000188249,0.0003471369,0.0002229465,0.0001589546,0.00008444369,0.0001872731,0.0001283871,0.0002127021,0.0004867931],"category_scores_gemma":[0.000228971,0.00006862328,0.000260491,0.0001082692,0.0001174347,0.0001749838,0.0001043248,0.0002402263,0.0001497674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001229776,"about_ca_system_score_gemma":0.00009799674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004202656,"about_ca_topic_score_gemma":0.0003838617,"domain_scores_codex":[0.9999272,0.00001596034,0.00000628877,0.00001582778,0.00001787348,0.00001686418],"domain_scores_gemma":[0.9998859,0.00002451742,0.00003091676,0.000007744543,0.0000234584,0.00002744192],"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":[0.00005656568,0.00000798148,0.0001739223,0.00002800589,0.000003163763,0.00002287453,0.000007549797,0.00002285613,0.9989358,0.000006651779,0.000003173318,0.0007314431],"study_design_scores_gemma":[0.000008114934,0.00045617,0.01356076,0.000005819072,0.00001936203,0.0003203126,0.00004083542,0.000443378,0.9839175,0.00001748106,0.001205368,0.000004886224],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996618,0.001121797,0.00176709,0.00003821372,0.000006773801,0.0000158784,0.0001515568,0.00001034673,0.0002703779],"genre_scores_gemma":[0.9926605,0.0005772546,0.005059438,0.00006861192,0.00001081928,0.00002034666,0.0007238669,0.00001050206,0.0008685921],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004867931,"threshold_uncertainty_score":0.001628458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01034480037206072,"score_gpt":0.2129478231621649,"score_spread":0.2026030227901042,"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."}}