{"id":"W2606783097","doi":"10.3390/molecules22040609","title":"Anti-Inflammatory and Antioxidant Properties of Casein Hydrolysate Produced Using High Hydrostatic Pressure Combined with Proteolytic Enzymes","year":2017,"lang":"en","type":"article","venue":"Molecules","topic":"Protein Hydrolysis and Bioactive Peptides","field":"Biochemistry, Genetics and Molecular Biology","cited_by":116,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Rural Development Administration; Canada Foundation for Innovation","keywords":"Chemistry; Casein; Hydrostatic pressure; Hydrolysate; Antioxidant; Thermolysin; Enzymatic hydrolysis; Hydrolysis; Enzyme; Food science; Biochemistry; Chromatography; Trypsin","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":[0.0002320764,0.0004350116,0.000235405,0.0002198938,0.00009649728,0.0002331772,0.0001306495,0.0002703812,0.0004943325],"category_scores_gemma":[0.0001783665,0.0001233706,0.0002778921,0.0002127003,0.0001633351,0.0002601515,0.0001553206,0.0003068861,0.0001028876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008554857,"about_ca_system_score_gemma":0.0001107209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001296221,"about_ca_topic_score_gemma":0.0002751894,"domain_scores_codex":[0.9998133,0.00002994149,0.00001629829,0.00002844699,0.00007853949,0.00003347437],"domain_scores_gemma":[0.9998446,0.00002771467,0.00007035925,0.000008246915,0.00002777601,0.00002131558],"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":[0.00005473279,0.00001419259,0.0002251247,0.00004735293,0.000007689881,0.00003056938,0.000004192087,0.00001783661,0.9987611,0.00000587226,0.000005041166,0.000826365],"study_design_scores_gemma":[0.000007576156,0.0003888971,0.008264741,0.000004867003,0.00002515943,0.0001868434,0.00001950419,0.000185004,0.9902253,0.000009463038,0.0006782896,0.000004544322],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936591,0.003658386,0.002051957,0.00003649782,0.0000193283,0.00002292416,0.0001020865,0.0000136895,0.0004360195],"genre_scores_gemma":[0.9954565,0.001274079,0.002508193,0.00003835352,0.00001662299,0.00002033738,0.0001806638,0.000005786133,0.0004995309],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004943325,"threshold_uncertainty_score":0.001653731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01212322334392104,"score_gpt":0.2190561014620307,"score_spread":0.2069328781181096,"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."}}