{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002454104,0.0002869196,0.0004504403,0.0001031918,0.0001375244,0.00005101272,0.0001112538,0.0001986392,0.00001229559],"category_scores_gemma":[0.00007068403,0.0002621464,0.0001049418,0.0001978013,0.0003929685,0.00006253111,0.00004803856,0.0001092699,4.433086e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001458323,"about_ca_system_score_gemma":0.0001209801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001676777,"about_ca_topic_score_gemma":0.000194624,"domain_scores_codex":[0.9982812,0.0001391658,0.0004990461,0.0005919719,0.0002753304,0.0002132668],"domain_scores_gemma":[0.9987121,0.00005224153,0.0005051994,0.0004232925,0.0002288095,0.00007831692],"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":[0.0002552507,0.0001385875,0.005261141,0.0002234904,0.0004132862,0.000002104292,0.0001347205,0.0001876781,0.9929262,0.00002084649,0.00001753346,0.0004190984],"study_design_scores_gemma":[0.0007034012,0.000122585,0.02388468,0.0000688955,0.0001950735,0.00002205353,0.0002760879,0.0004322421,0.9736705,0.00004897077,0.000292239,0.0002832779],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957194,0.0033001,0.0003619266,0.00006553419,0.00002575245,0.0003277799,0.0001369565,0.00002129717,0.00004121107],"genre_scores_gemma":[0.9980906,0.0007258138,0.0003680871,0.00001812029,0.00007625727,0.00006550149,0.0003655146,0.00003477564,0.0002552978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01925577,"threshold_uncertainty_score":0.9999831,"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."}}