{"id":"W4280610224","doi":"10.3390/membranes12050512","title":"Production of Demineralized Antibacterial, Antifungal and Antioxidant Peptides from Bovine Hemoglobin Using an Optimized Multiple-Step System: Electrodialysis with Bipolar Membrane","year":2022,"lang":"en","type":"article","venue":"Membranes","topic":"Protein Hydrolysis and Bioactive Peptides","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hydrolysate; Chemistry; Food science; Antimicrobial; Antioxidant; Antibacterial activity; Chromatography; Microbiology; Biochemistry; Hydrolysis; Bacteria; Biology; Organic chemistry","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":[0.0004945563,0.0003081158,0.0005835001,0.0001380297,0.0003207732,0.00004947547,0.000214961,0.0000946605,0.00003537339],"category_scores_gemma":[0.0000756787,0.0002585454,0.0001221104,0.0002778291,0.0001623181,0.00003141588,0.0001615364,0.0001220375,3.131193e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000338538,"about_ca_system_score_gemma":0.00007628871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001521718,"about_ca_topic_score_gemma":0.0001063278,"domain_scores_codex":[0.9978062,0.0004204134,0.0004269442,0.0007403538,0.0003026443,0.0003034688],"domain_scores_gemma":[0.9988913,0.00002326139,0.0003673163,0.0004924498,0.0001366726,0.00008900011],"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":[0.003322141,0.0002101024,0.008239112,0.0001498433,0.0003325367,0.000008209141,0.00005416458,0.001602617,0.9858307,0.000004401245,0.0000121532,0.0002339755],"study_design_scores_gemma":[0.00193849,0.0008122976,0.001848253,0.00004335252,0.0002925866,0.0001088359,0.0003134056,0.005321898,0.9881711,0.000001283469,0.0007874711,0.0003610344],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964557,0.002134376,0.000504838,0.00004194293,0.0001435653,0.0004979824,0.0001719122,0.00003760304,0.00001205776],"genre_scores_gemma":[0.9914683,0.0002532695,0.007349262,0.00002178999,0.0002881293,0.00004681119,0.0004683913,0.00004556475,0.00005847104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006844424,"threshold_uncertainty_score":0.9999866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01097809609537951,"score_gpt":0.2215965491578739,"score_spread":0.2106184530624944,"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."}}