{"id":"W3178037609","doi":"10.3390/membranes11070528","title":"Glucoregulatory and Anti-Inflammatory Activities of Peptide Fractions Separated by Electrodialysis with Ultrafiltration Membranes from Salmon Protein Hydrolysate and Identification of Four Novel Glucoregulatory Peptides","year":2021,"lang":"en","type":"article","venue":"Membranes","topic":"Protein Hydrolysis and Bioactive Peptides","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; Université Laval","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Hydrolysate; Ultrafiltration (renal); Electrodialysis; Chemistry; Insulin; Peptide; In vitro; Biochemistry; Basal (medicine); Type 2 diabetes; Glucose uptake; Membrane; Chromatography; Endocrinology; Diabetes mellitus; Biology; Hydrolysis","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001339476,0.0004568018,0.000176924,0.0001638758,0.00009199126,0.0002056165,0.0001281904,0.0002451228,0.0003733832],"category_scores_gemma":[0.0001339762,0.00009994747,0.0003047481,0.0001506254,0.0001658614,0.0002046875,0.0001410522,0.0003488998,0.0001346462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001600946,"about_ca_system_score_gemma":0.0001486697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002931891,"about_ca_topic_score_gemma":0.0004453078,"domain_scores_codex":[0.9999254,0.00001000296,0.000007036315,0.00001761341,0.00002218333,0.00001779572],"domain_scores_gemma":[0.9999321,0.00000912246,0.00002522261,0.000003924068,0.00001597849,0.00001364616],"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":[0.0000400877,0.000006946078,0.00008337771,0.00001908319,0.000002671495,0.00001221385,0.000003785254,0.00002503123,0.9991272,0.000008538267,0.000003530998,0.0006676122],"study_design_scores_gemma":[0.00001135395,0.0002938889,0.004089392,0.000005880046,0.0000165696,0.0001244974,0.00001699978,0.0002562194,0.9945516,0.00001027592,0.0006192008,0.000004158049],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943804,0.001170899,0.003901993,0.00003672381,0.000009799702,0.00002589774,0.0001128628,0.00001295613,0.0003484598],"genre_scores_gemma":[0.9860187,0.001313818,0.01058585,0.00009666815,0.00001096296,0.00004561118,0.0005646371,0.0000171596,0.001346711],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004568018,"threshold_uncertainty_score":0.001249135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005692684540697747,"score_gpt":0.2026493311826284,"score_spread":0.1969566466419306,"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."}}