{"id":"W4383955496","doi":"10.1002/fbe2.12057","title":"Bioactive peptides: Synthesis, applications, and associated challenges","year":2023,"lang":"en","type":"article","venue":"Food Bioengineering","topic":"Protein Hydrolysis and Bioactive Peptides","field":"Biochemistry, Genetics and Molecular Biology","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Exploit; Peptide; Computational biology; Amino acid; Combinatorial chemistry; Peptide synthesis; Fractionation; Biochemical engineering; Biotechnology; Biochemistry; Biology; Computer science; Chemistry; Engineering; Organic chemistry","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":[0.001195499,0.0006228941,0.000707343,0.0005640878,0.0003708155,0.001471075,0.0005674576,0.001148027,0.001925878],"category_scores_gemma":[0.0007716141,0.0002960432,0.0004089827,0.0008054958,0.00057384,0.001694144,0.0007323243,0.001718489,0.001795787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005035318,"about_ca_system_score_gemma":0.000801525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000372261,"about_ca_topic_score_gemma":0.0003996946,"domain_scores_codex":[0.9994605,0.0001110702,0.00004526841,0.0001017207,0.0002220305,0.00005927822],"domain_scores_gemma":[0.9995772,0.0001491088,0.0000719245,0.00002926761,0.0001333898,0.00003903965],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002569127,0.0002524717,0.001011858,0.0227327,0.0001038405,0.001809594,0.0004652902,0.004499604,0.3334993,0.03100071,0.01678553,0.5875821],"study_design_scores_gemma":[0.00002723669,0.0006993399,0.001314386,0.002059788,0.00008631673,0.004113625,0.0004841348,0.003227547,0.138488,0.02336364,0.8260551,0.00008079944],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01959186,0.9471501,0.01943838,0.003795979,0.0009182306,0.00006413059,0.0001560239,0.00008704119,0.008798275],"genre_scores_gemma":[0.07706229,0.8954605,0.01940941,0.001600734,0.001101788,0.000131815,0.0002745764,0.00004661955,0.004912304],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.001925878,"threshold_uncertainty_score":0.006442726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01723526953110257,"score_gpt":0.2289791257697144,"score_spread":0.2117438562386119,"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."}}