{"id":"W4366069014","doi":"10.48130/fia-2023-0009","title":"Marine proteins and peptides: Production, biological activities, and potential applications","year":2023,"lang":"en","type":"article","venue":"Food Innovation and Advances","topic":"Protein Hydrolysis and Bioactive Peptides","field":"Biochemistry, Genetics and Molecular Biology","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières; University of Alberta","funders":"","keywords":"Cosmeceutical; Functional food; Commercialization; Biotechnology; Business; Cosmeceuticals; Food processing; Food industry; Cosmetics; Biochemical engineering; Biology; Chemistry; Food science; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001206491,0.00009224613,0.0000834372,0.00007764186,0.0001558523,0.0000308976,0.00003234936,0.00005671209,0.000003563981],"category_scores_gemma":[0.0000455929,0.0000748415,0.00001041822,0.0003010871,0.0001588074,0.00001833747,0.000103426,0.00004772386,7.803034e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002621528,"about_ca_system_score_gemma":0.00001110986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002089246,"about_ca_topic_score_gemma":0.000008113288,"domain_scores_codex":[0.9993986,0.00001747506,0.0001273348,0.0002968075,0.00005438924,0.0001054275],"domain_scores_gemma":[0.9997556,0.000004775439,0.00006701769,0.00008682202,0.00006255518,0.00002321485],"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":[0.00004617586,0.00003133228,0.00770941,0.00004007113,0.00003211652,2.706639e-7,0.00001732523,0.000005704289,0.8825268,0.002687726,0.0001131908,0.1067899],"study_design_scores_gemma":[0.0007843664,0.001457837,0.0681229,0.00002870755,0.00002086947,0.00005825832,0.0006717903,0.00007309049,0.6059911,0.01233327,0.309908,0.0005498089],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972873,0.0006553071,0.0008517008,0.0006239242,0.00002813046,0.0003488978,0.00001850861,0.00003087779,0.0001553833],"genre_scores_gemma":[0.9959529,0.001988891,0.001076304,0.00008738736,0.0001956086,0.0001977145,0.000170682,0.000006216821,0.0003242859],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3097948,"threshold_uncertainty_score":0.3051948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01389294442815473,"score_gpt":0.2547361790664612,"score_spread":0.2408432346383065,"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."}}