{"id":"W2561428666","doi":"10.4172/2157-7110.1000537","title":"Selective Removal of Phenylalanine Impurities from Commercial κ-Casein Glycomacropeptide by Anion Exchange Chromatography","year":2016,"lang":"en","type":"article","venue":"Journal of Food Processing & Technology","topic":"Probiotics and Fermented Foods","field":"Agricultural and Biological Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Alberta Livestock and Meat Agency","keywords":"Phenylalanine; Casein; Chemistry; Impurity; Chromatography; Ion chromatography; Ion exchange; Ion-exchange resin; Ion; Food science; Biochemistry; Organic chemistry; Amino acid","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001784086,0.0001557084,0.0003666579,0.00009244512,0.0001201372,0.00002448935,0.0003832556,0.0002361059,0.00004293282],"category_scores_gemma":[0.00005087502,0.00005698264,0.0001174998,0.0005567718,0.0002372868,0.0001701478,0.00008516107,0.0002151089,0.000001132642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003512589,"about_ca_system_score_gemma":0.00002486299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002342636,"about_ca_topic_score_gemma":0.00008227801,"domain_scores_codex":[0.9988659,0.00004433383,0.0004644436,0.0001714208,0.0001953912,0.0002584819],"domain_scores_gemma":[0.9989308,0.00006327526,0.000637526,0.0000529002,0.000256914,0.00005861117],"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":[0.0001122957,0.0001302671,0.001978054,0.00001150108,0.00005528589,0.00001234464,0.00004907727,2.987733e-8,0.707153,0.00004999692,0.0007019378,0.2897462],"study_design_scores_gemma":[0.001675606,0.007682159,0.01865696,0.0007933654,0.0001007577,0.0007147175,0.0005689924,0.000007907376,0.9287902,0.01649563,0.0240799,0.0004338342],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990672,0.006036626,0.0001230271,0.002654543,0.00008907434,0.00007566802,0.0001390209,0.00004280735,0.0001672488],"genre_scores_gemma":[0.9987305,0.0003195835,0.0006899137,0.0000634374,0.00016781,0.000001992876,0.000006913652,0.000002476358,0.00001734552],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2893124,"threshold_uncertainty_score":0.2323685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009523108304616478,"score_gpt":0.2096075057074187,"score_spread":0.2000843974028022,"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."}}