{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002967219,0.0005653724,0.0003127866,0.0002410574,0.00008859002,0.0002922191,0.0003137797,0.0005079354,0.0003339823],"category_scores_gemma":[0.0001906731,0.0002071111,0.000305457,0.0002584057,0.0001288356,0.0002676897,0.0002683135,0.0005262441,0.0001851032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002132738,"about_ca_system_score_gemma":0.000158002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005277218,"about_ca_topic_score_gemma":0.0008940158,"domain_scores_codex":[0.9997975,0.00002796149,0.00002053,0.00005148538,0.00007175063,0.00003075494],"domain_scores_gemma":[0.9999033,0.00001695531,0.0000376199,0.000005803661,0.00002179564,0.00001441569],"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":[0.000009946278,0.000006190733,0.00001718769,0.00002165674,0.000001781474,0.000009838954,0.00000341771,0.00001912179,0.9994093,0.00000543804,0.000003106295,0.0004930099],"study_design_scores_gemma":[0.000006438006,0.0001077437,0.0006005241,0.000003553086,0.000008808728,0.00005530747,0.000008898311,0.0003053648,0.9984193,0.000004684137,0.0004748496,0.000004568687],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9644577,0.002691071,0.03145085,0.00008961929,0.00004768413,0.0001270988,0.0002843194,0.0001266217,0.0007250477],"genre_scores_gemma":[0.9377384,0.002318744,0.05737285,0.00009070244,0.00001808532,0.0001230045,0.000427589,0.00003745364,0.001873266],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005653724,"threshold_uncertainty_score":0.001569271,"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."}}