{"id":"W3041078463","doi":"10.1007/s12649-020-01154-7","title":"Slaughterhouse By-Product Valorization: Hydrolysis Degree Modification for Higher Antimicrobial Recovery by Electroseparation","year":2020,"lang":"en","type":"article","venue":"Waste and Biomass Valorization","topic":"Protein Hydrolysis and Bioactive Peptides","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"European Commission","keywords":"Hydrolysate; Ultrafiltration (renal); Hydrolysis; Chemistry; Context (archaeology); Preservative; Food science; Peptide; Hemoglobin; Antimicrobial; Chromatography; Population; Antimicrobial peptides; Biotechnology; Biochemistry; Organic chemistry; Biology; Medicine","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":[0.0001907641,0.0003965064,0.0001642857,0.0001944492,0.0000935878,0.0002824582,0.0001885512,0.0003677285,0.00232919],"category_scores_gemma":[0.0002961555,0.0001235135,0.0002534476,0.0002278362,0.0001342355,0.0002088745,0.0001700662,0.0004784685,0.0005119519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001438761,"about_ca_system_score_gemma":0.00009186757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002635032,"about_ca_topic_score_gemma":0.0005262995,"domain_scores_codex":[0.9998924,0.00001293235,0.000008020399,0.000025474,0.00003090398,0.00003037332],"domain_scores_gemma":[0.9998963,0.00003161004,0.00003352543,0.00001003412,0.00001750232,0.00001104208],"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":[0.00003422881,0.000011561,0.00008278481,0.00003176084,0.000002873604,0.00002215473,0.000009280106,0.0000603318,0.9979359,0.00002188134,0.00003808158,0.001749227],"study_design_scores_gemma":[0.000002271193,0.00007046914,0.001178998,0.000002608369,0.000004777063,0.00003304807,0.000008648749,0.0003071904,0.997799,0.000009224869,0.0005809932,0.00000284593],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9872295,0.0007073644,0.01007374,0.00009513006,0.00003365541,0.00003331398,0.0002980361,0.000155397,0.001373959],"genre_scores_gemma":[0.9889756,0.0005317306,0.007838137,0.00007180664,0.000008330474,0.00002516315,0.000398821,0.00006370823,0.002086635],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00232919,"threshold_uncertainty_score":0.007791936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02341096073620452,"score_gpt":0.239878821973081,"score_spread":0.2164678612368765,"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."}}