{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001215521,0.0002224462,0.0001888572,0.00004331018,0.0001838099,0.000101015,0.0001230608,0.0001631088,0.000007551817],"category_scores_gemma":[0.00005324476,0.0002123067,0.00009524862,0.0002516151,0.00004724726,0.0000433041,0.00004166034,0.00004580966,0.000004427933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001940702,"about_ca_system_score_gemma":0.00002992046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001810598,"about_ca_topic_score_gemma":0.000004714636,"domain_scores_codex":[0.9986351,0.00006306409,0.0002984962,0.0006408877,0.0001374388,0.0002250091],"domain_scores_gemma":[0.9993605,0.000009093184,0.000199824,0.0001977054,0.0001422725,0.00009060711],"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":[0.0002407672,0.00005529174,0.0003898135,0.00003982854,0.00008531933,1.110111e-7,0.00002210437,0.00003987322,0.9712784,0.00002820891,0.02382964,0.003990697],"study_design_scores_gemma":[0.0006831756,0.0004103841,0.0001385022,0.000005972536,0.0000799879,0.000001216926,0.000008404841,0.001715125,0.9572862,0.00004362635,0.03934432,0.0002830684],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8210961,0.0009777648,0.1736438,0.002814604,0.000194748,0.0007805655,0.0002979832,0.00005530587,0.0001391492],"genre_scores_gemma":[0.990999,0.0005155316,0.0007255694,0.0005223034,0.0007957495,0.00007907461,0.005776507,0.00003746193,0.0005487949],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1729183,"threshold_uncertainty_score":0.8657616,"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."}}