{"id":"W1972745440","doi":"10.1016/j.memsci.2004.01.016","title":"Effect of aggregating peptides on the fractionation of β-LG tryptic hydrolysate by nanofiltration membrane","year":2004,"lang":"en","type":"article","venue":"Journal of Membrane Science","topic":"Protein Hydrolysis and Bioactive Peptides","field":"Biochemistry, Genetics and Molecular Biology","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Hydrolysate; Chemistry; Nanofiltration; Peptide; Chromatography; Membrane; Ultrafiltration (renal); Fractionation; Permeation; Hydrolysis; Biochemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000466012,0.0005074665,0.0004876472,0.0001413461,0.0002735596,0.0003902538,0.0002083256,0.0003101137,0.0008303382],"category_scores_gemma":[0.0003526524,0.0001509592,0.0003592676,0.0001740456,0.0002183809,0.0003395751,0.0002059273,0.0008264304,0.0003198445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002305212,"about_ca_system_score_gemma":0.0001893215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007833361,"about_ca_topic_score_gemma":0.0007293771,"domain_scores_codex":[0.9998198,0.00003483739,0.00002371507,0.00003651506,0.00003345452,0.00005160913],"domain_scores_gemma":[0.9997692,0.00009099129,0.00003519665,0.00001600856,0.00004264728,0.00004607952],"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":[0.0001289045,0.00001447497,0.00005451056,0.00002352165,0.000005100253,0.00001462307,0.00002237382,0.00001127441,0.9993573,0.00001075814,0.00001350511,0.0003436386],"study_design_scores_gemma":[0.000009044862,0.0001362625,0.002016502,0.000005763246,0.00001732167,0.00004405758,0.00001637699,0.0002795018,0.9969216,0.00001048923,0.0005394618,0.000003532236],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949414,0.001180396,0.002736157,0.0001230906,0.00006781817,0.0000355011,0.0001417019,0.00004964324,0.0007242415],"genre_scores_gemma":[0.9904343,0.00111068,0.004993396,0.0003286554,0.00007149234,0.00004686214,0.0008595478,0.00006481416,0.002090289],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008303382,"threshold_uncertainty_score":0.002777815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005015003632841927,"score_gpt":0.2482354262165307,"score_spread":0.2432204225836888,"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."}}