{"id":"W2621568245","doi":"10.3390/molecules22060949","title":"Anti-Inflammatory and Antioxidant Properties of Peptides Released from β-Lactoglobulin by High Hydrostatic Pressure-Assisted Enzymatic Hydrolysis","year":2017,"lang":"en","type":"article","venue":"Molecules","topic":"Protein Hydrolysis and Bioactive Peptides","field":"Biochemistry, Genetics and Molecular Biology","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Rural Development Administration","keywords":"Chemistry; Antioxidant; Hydrolysate; Hydrostatic pressure; Enzymatic hydrolysis; Hydrolysis; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001855561,0.0002988881,0.0004707354,0.00005032321,0.0002801693,0.0001350703,0.0004118825,0.0001717393,0.00001433966],"category_scores_gemma":[0.0003046972,0.0002458133,0.0001403047,0.00003529048,0.000488984,0.00002228215,0.0002465592,0.00009635586,0.000004821696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008026347,"about_ca_system_score_gemma":0.0000465778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001028787,"about_ca_topic_score_gemma":0.00006503647,"domain_scores_codex":[0.9983471,0.0001377692,0.0004447139,0.0005360248,0.0002598384,0.0002745785],"domain_scores_gemma":[0.9983802,0.00001837934,0.0005384582,0.0008554518,0.0001000212,0.0001074629],"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":[0.0001212682,0.0001164675,0.007642592,0.0001189941,0.0003662771,0.000006519249,0.00004254726,0.00001636099,0.9899735,0.00001677536,0.0002737328,0.001304976],"study_design_scores_gemma":[0.0007033548,0.0001360402,0.07165559,0.0001510429,0.0001825417,0.000003856358,0.00003964519,0.0005771721,0.9253045,0.00008832683,0.0008530474,0.0003048577],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920219,0.006835665,0.0002772322,0.0002012454,0.00003770257,0.0003007592,0.0001845217,0.00001894195,0.000122053],"genre_scores_gemma":[0.9981107,0.0004770655,0.00081588,0.00008308499,0.00005714663,0.00004315485,0.00008818388,0.00003597414,0.0002888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06466896,"threshold_uncertainty_score":0.9999994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008702201618229823,"score_gpt":0.2106500594903175,"score_spread":0.2019478578720877,"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."}}