{"id":"W4297982360","doi":"10.31665/jfb.2022.18316","title":"Novel marine bioactives: application in functional foods, nutraceuticals, and pharmaceuticals","year":2022,"lang":"en","type":"article","venue":"Journal of Food Bioactives","topic":"Protein Hydrolysis and Bioactive Peptides","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Nutraceutical; Functional food; Marine invertebrates; Biology; Marine ecosystem; Antimicrobial; Health benefits; Ecology; Ecosystem; Food science; Traditional medicine; Medicine; Microbiology","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":[0.0005683932,0.0001682175,0.0002441283,0.000154327,0.0001394966,0.00002471174,0.0001749122,0.00007841107,0.00004527396],"category_scores_gemma":[0.00007669732,0.0001482735,0.0001262121,0.0002183295,0.0001725719,0.00002242391,0.000264295,0.0003444878,6.286199e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006253712,"about_ca_system_score_gemma":0.00008518084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001001999,"about_ca_topic_score_gemma":0.00001416642,"domain_scores_codex":[0.9986844,0.0001256019,0.0003946185,0.0002919524,0.0002909033,0.0002125194],"domain_scores_gemma":[0.9992642,0.00004783068,0.0003259029,0.0001430764,0.0001067874,0.0001122105],"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":[0.001025375,0.0009154468,0.006408184,0.00001418068,0.0002606451,0.000002684137,0.00005122916,0.00008815445,0.9757084,0.0004069327,0.00005464864,0.01506416],"study_design_scores_gemma":[0.0038857,0.004901005,0.09119092,0.00001929423,0.0001182337,0.0006222906,0.001695613,0.0004163274,0.8603428,0.0015397,0.03477359,0.0004945256],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895127,0.002651659,0.006218278,0.0008161739,0.0001077803,0.0002579888,0.00005434,0.000004816407,0.0003762465],"genre_scores_gemma":[0.9975668,0.0003805869,0.001498925,0.000200452,0.0002403749,0.00004256856,0.00002020562,0.00001595606,0.0000341963],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1153656,"threshold_uncertainty_score":0.6046418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02285797241840443,"score_gpt":0.2761801077732587,"score_spread":0.2533221353548543,"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."}}