{"id":"W2924180394","doi":"10.3390/molecules24061104","title":"Anti-Oxidative and Anti-Aging Activities of Porcine By-Product Collagen Hydrolysates Produced by Commercial Proteases: Effect of Hydrolysis and Ultrafiltration","year":2019,"lang":"en","type":"article","venue":"Molecules","topic":"Protein Hydrolysis and Bioactive Peptides","field":"Biochemistry, Genetics and Molecular Biology","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Research Foundation of Korea; Ministry of Science, ICT and Future Planning; National Research Foundation","keywords":"Chemistry; Hydrolysate; Papain; Ultrafiltration (renal); Hydrolysis; Proteases; Antioxidant; Enzymatic hydrolysis; Chromatography; Enzyme; Biochemistry; Food science","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":[0.0003185483,0.0002513647,0.0005009332,0.00006992539,0.00006358586,0.0000247492,0.0001176857,0.00009487438,0.000007047102],"category_scores_gemma":[0.0001121645,0.0002092559,0.00007643405,0.0001274548,0.0002328036,0.00002151208,0.00009282094,0.00005886874,4.578815e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000680883,"about_ca_system_score_gemma":0.00002422127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001244221,"about_ca_topic_score_gemma":0.000005382952,"domain_scores_codex":[0.9986394,0.0002074317,0.0002776941,0.0005069857,0.0001739063,0.000194578],"domain_scores_gemma":[0.9992634,0.00004274156,0.0002760545,0.0003009924,0.00006555657,0.00005124619],"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":[0.0001416341,0.0000780095,0.06122288,0.0001932199,0.0002013865,4.778942e-7,0.0000743312,0.00001323375,0.9363478,0.000003279084,0.0001327456,0.001590941],"study_design_scores_gemma":[0.0007341388,0.0007443698,0.005957682,0.00005274621,0.00009553735,0.000004379609,0.00005222085,0.00007668548,0.9919301,0.000004686165,0.000129652,0.000217776],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955236,0.003222053,0.00005869292,0.0001188972,0.00002022711,0.0008440143,0.0001359009,0.000009748332,0.00006684575],"genre_scores_gemma":[0.9992018,0.0003146232,0.0000827341,0.00002818474,0.00003769879,0.00004261807,0.0001858707,0.00002364882,0.00008279894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05558227,"threshold_uncertainty_score":0.8533209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00282672508830781,"score_gpt":0.2135846562645975,"score_spread":0.2107579311762897,"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."}}