{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001875113,0.0005286151,0.0004119891,0.0009285255,0.0001972911,0.0006193827,0.0002055716,0.0005428945,0.001955736],"category_scores_gemma":[0.0001411055,0.0001438634,0.000410289,0.000609017,0.0002678391,0.0006070594,0.0004994794,0.0006903388,0.0006613223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002579927,"about_ca_system_score_gemma":0.0002766325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003340444,"about_ca_topic_score_gemma":0.0008295121,"domain_scores_codex":[0.9999237,0.00001039751,0.00000676392,0.00001498748,0.00002915949,0.00001488486],"domain_scores_gemma":[0.9999557,0.000008474472,0.00000970019,0.000002454246,0.00001166785,0.00001209807],"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":[0.0002192686,0.0001886322,0.001125764,0.00749455,0.0001117469,0.001732023,0.0001824153,0.000821695,0.5453648,0.008291057,0.003831156,0.430637],"study_design_scores_gemma":[0.000074305,0.001771386,0.00763247,0.001820603,0.0003113695,0.006011752,0.0004066322,0.001416954,0.2931636,0.006096009,0.6812118,0.00008314324],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.04627995,0.9237134,0.008435945,0.001170993,0.0005686001,0.00005903584,0.000256836,0.00008795483,0.01942729],"genre_scores_gemma":[0.2091574,0.766901,0.01289269,0.0008993404,0.0003859781,0.00005505619,0.0002877276,0.00002085952,0.009400057],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001955736,"threshold_uncertainty_score":0.006542623,"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."}}