{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008954392,0.0001385081,0.0001575062,0.00003557737,0.00006898017,0.00002261055,0.00009035769,0.00009541406,0.00005538229],"category_scores_gemma":[0.00006992986,0.0001311297,0.000129443,0.0001027983,0.00008516815,0.000006690711,0.0001035269,0.0000557212,0.000006248874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008707289,"about_ca_system_score_gemma":0.00008086507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001187677,"about_ca_topic_score_gemma":0.00001130772,"domain_scores_codex":[0.9990542,0.00007827213,0.0002204434,0.0003155464,0.0001686626,0.0001628974],"domain_scores_gemma":[0.9993522,0.000003612678,0.0001292875,0.0002458032,0.0002220215,0.00004705026],"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":[0.0000601736,0.0001018159,0.0007422336,0.00002701153,0.00008486376,0.00000679178,0.00001357071,0.00001074035,0.9974639,0.0002035864,0.00003140344,0.001253853],"study_design_scores_gemma":[0.0002613732,0.00009943957,0.04371514,0.00003038053,0.00001743859,0.00001198125,0.00002753327,0.00004046836,0.9539419,0.00005698951,0.001651377,0.0001460187],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900998,0.0002855949,0.008693308,0.00014896,0.0000486735,0.0001570786,0.00004526569,0.00001161484,0.0005096507],"genre_scores_gemma":[0.9970259,0.00006529772,0.001288776,0.0001048238,0.0001389993,0.00003519964,0.0004622454,0.00001817849,0.0008605702],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04352209,"threshold_uncertainty_score":0.5347314,"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."}}