{"id":"W3022757015","doi":"10.3390/membranes10050090","title":"Electroseparation of Slaughterhouse By-Product: Antimicrobial Peptide Enrichment by pH Modification","year":2020,"lang":"en","type":"article","venue":"Membranes","topic":"Protein Hydrolysis and Bioactive Peptides","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Ministère de l'Agriculture, des Pêcheries et de l'Alimentation","funders":"","keywords":"Hydrolysate; Peptide; Ultrafiltration (renal); Antimicrobial; Chemistry; Preservative; Antimicrobial peptides; Context (archaeology); Chromatography; Food science; Fractionation; Fraction (chemistry); Biochemistry; Hydrolysis; Biology; Organic chemistry","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":[0.0002368623,0.0003755479,0.0002277033,0.000150874,0.0001091347,0.0002537378,0.0001576326,0.000304487,0.0007764716],"category_scores_gemma":[0.0002447708,0.0001060917,0.0002549067,0.0001371153,0.000162547,0.0003466918,0.0002359427,0.0004884006,0.0003468132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001460102,"about_ca_system_score_gemma":0.0001456978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002340912,"about_ca_topic_score_gemma":0.0003623108,"domain_scores_codex":[0.9998412,0.00002098417,0.00001091413,0.0000426491,0.00005248091,0.00003177244],"domain_scores_gemma":[0.9999043,0.00001822792,0.00003422438,0.000007744635,0.00002239702,0.00001306969],"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":[0.00002652419,0.000006155522,0.00008237363,0.00003595725,0.000003476238,0.00003224574,0.000008340494,0.0000260063,0.9986689,0.0000126619,0.00001016813,0.00108729],"study_design_scores_gemma":[0.000002308536,0.00006579825,0.001223537,0.000004692866,0.000005773887,0.00007746335,0.00001375274,0.0001711548,0.9977103,0.000009074093,0.0007132234,0.000002856616],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9787068,0.001692639,0.01800803,0.00007659498,0.00004289457,0.00006865819,0.000200316,0.00008062115,0.001123256],"genre_scores_gemma":[0.9770958,0.00161657,0.01781046,0.0001416534,0.0000190625,0.00005453719,0.0004687436,0.00006793908,0.002725244],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007764716,"threshold_uncertainty_score":0.00259757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0108372909575513,"score_gpt":0.2361786606847428,"score_spread":0.2253413697271915,"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."}}