{"id":"W4406978401","doi":"10.1016/j.fbio.2025.106013","title":"Preparation and characterization of a sea cucumber collagen-derived peptide and the inhibition of pancreatic lipase","year":2025,"lang":"en","type":"article","venue":"Food Bioscience","topic":"Protein Hydrolysis and Bioactive Peptides","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Lipase; Chemistry; Sea cucumber; Peptide; Biochemistry; Pancreatic lipase; Characterization (materials science); Enzyme; Biology; Materials science; Ecology; Nanotechnology","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":[0.0001981544,0.00005868394,0.00009915709,0.00003001746,0.00006033544,0.00001472599,0.00004624121,0.000040477,0.000001215072],"category_scores_gemma":[0.00008556752,0.00004006753,0.00002016559,0.0001483138,0.0003896236,0.000008632316,0.0000711286,0.00001369332,9.053138e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003047487,"about_ca_system_score_gemma":0.00003422982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003194764,"about_ca_topic_score_gemma":0.00004132056,"domain_scores_codex":[0.9995065,0.00005542555,0.0001391211,0.0001666951,0.00006993813,0.00006229996],"domain_scores_gemma":[0.9996704,0.00001293302,0.0001127011,0.0001170979,0.00007147589,0.00001541482],"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":[0.0001458106,0.0000192827,0.002935936,0.00003049606,0.00001433865,4.808533e-8,0.00006785111,6.710229e-7,0.9961798,0.0002223696,0.000006974215,0.0003764633],"study_design_scores_gemma":[0.000421533,0.0002650949,0.01825334,0.00003528311,0.00002281572,0.000001650207,0.00003355169,0.000484276,0.9801953,0.0001156916,0.000128847,0.00004263764],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983697,0.0002164213,0.000746958,0.0001609943,0.00001677577,0.0002631634,0.00002564528,0.000002211044,0.0001981222],"genre_scores_gemma":[0.9994168,0.0002248818,0.000138686,0.00007648118,0.00001148288,0.00002177972,0.0000213748,0.000001788134,0.00008677857],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01598448,"threshold_uncertainty_score":0.1633907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005964336375680303,"score_gpt":0.2373742050605704,"score_spread":0.2314098686848901,"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."}}