{"id":"W2961021218","doi":"10.1002/jsfa.9919","title":"Isolation and identification of zinc‐chelating peptides from sea cucumber (<i>Stichopus japonicus</i>) protein hydrolysate","year":2019,"lang":"en","type":"article","venue":"Journal of the Science of Food and Agriculture","topic":"Protein Hydrolysis and Bioactive Peptides","field":"Biochemistry, Genetics and Molecular Biology","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"National Natural Science Foundation of China","keywords":"Chemistry; Zinc; Isothermal titration calorimetry; Chromatography; Hydrolysate; Sea cucumber; Chelation; Ultrafiltration (renal); Gel permeation chromatography; Hydrolysis; Nuclear chemistry; Biochemistry; Organic chemistry; Biology","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":[0.0001086334,0.0006633564,0.0001673362,0.0003459807,0.0001309296,0.0002124986,0.000133638,0.0001833877,0.0004470162],"category_scores_gemma":[0.0001790607,0.00008404555,0.0002510271,0.0002394609,0.0001782324,0.0001788509,0.0001513033,0.0002957425,0.0001899707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001667741,"about_ca_system_score_gemma":0.0002330992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001033755,"about_ca_topic_score_gemma":0.001036863,"domain_scores_codex":[0.9999368,0.000006662548,0.000005423902,0.00001624696,0.00002313354,0.00001165873],"domain_scores_gemma":[0.9998524,0.0000171353,0.00005886287,0.000006876423,0.00003230917,0.0000323421],"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":[0.0000343242,0.000006355821,0.0004338539,0.0000354191,0.000003138472,0.00007703761,0.00001171854,0.0000235683,0.9982672,0.00001227313,0.00001375672,0.001081484],"study_design_scores_gemma":[0.00001761883,0.0003354494,0.04458625,0.00002278587,0.00004115276,0.001278757,0.000111696,0.001149956,0.9493372,0.00004863439,0.003055712,0.0000146414],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932165,0.001159193,0.004251838,0.00005910269,0.00002096115,0.00004336045,0.0005529513,0.00003161109,0.00066448],"genre_scores_gemma":[0.9823979,0.001165207,0.01231512,0.00007076795,0.00002466794,0.00004508687,0.002109704,0.00003485887,0.00183665],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001033755,"threshold_uncertainty_score":0.002055526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004305014143905075,"score_gpt":0.2036429485488376,"score_spread":0.1993379344049325,"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."}}