{"id":"W2168856650","doi":"10.1007/s11947-011-0624-5","title":"Modeling of Enzymatic Hydrolysis of Whey Proteins","year":2011,"lang":"en","type":"article","venue":"Food and Bioprocess Technology","topic":"Protein Hydrolysis and Bioactive Peptides","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Consejo Nacional de Ciencia y Tecnología","keywords":"Hydrolysis; Chemistry; Factorial experiment; Nonlinear regression; Protease; Degree (music); Correlation coefficient; Enzymatic hydrolysis; Whey protein; Work (physics); Chromatography; Enzyme; Thermodynamics; Mathematics; Regression analysis; Statistics; Physics; Organic chemistry","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":[0.0001055153,0.0001360399,0.0002637135,0.0001734779,0.00003432658,0.00000270874,0.0002230457,0.0002574778,0.000008506303],"category_scores_gemma":[0.0000519516,0.0001101773,0.00006576212,0.0002384033,0.0002460782,0.000005080558,0.0001520478,0.00007014273,5.864251e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002445572,"about_ca_system_score_gemma":0.00002689688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004092797,"about_ca_topic_score_gemma":0.00003778971,"domain_scores_codex":[0.9991767,0.00001154193,0.0002863701,0.0002761812,0.0000819477,0.0001672477],"domain_scores_gemma":[0.9994181,0.00000144798,0.0001485493,0.0002719156,0.0001296927,0.00003032698],"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":[0.00007295055,0.0001335694,0.001913838,0.0001569575,0.000132794,4.572092e-7,0.00006984023,0.00001054119,0.9923059,0.0006995791,0.00000172367,0.004501903],"study_design_scores_gemma":[0.0002402582,0.001279189,0.00008640529,0.00004127057,0.00003905663,0.00001041467,0.0001842382,0.001051572,0.9934831,0.003415142,0.00003872461,0.0001306665],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943537,0.002356245,0.002564172,0.00004778846,0.00001064163,0.0001828782,0.00001630279,0.00001957696,0.0004486755],"genre_scores_gemma":[0.9965982,0.0001939689,0.003095648,0.00001130328,0.00001671691,0.00004338994,0.000007203251,0.00001141972,0.00002207898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004371237,"threshold_uncertainty_score":0.4492898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01569896930254304,"score_gpt":0.2152672706817847,"score_spread":0.1995683013792416,"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."}}