{"id":"W2072086925","doi":"10.1007/s11130-012-0275-3","title":"Multifunctional Cationic Peptide Fractions from Flaxseed Protein Hydrolysates","year":2012,"lang":"en","type":"article","venue":"Plant Foods for Human Nutrition","topic":"Protein Hydrolysis and Bioactive Peptides","field":"Biochemistry, Genetics and Molecular Biology","cited_by":53,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph; University of Manitoba","funders":"Networks of Centres of Excellence of Canada; Natural Sciences and Engineering Research Council of Canada; Advanced Foods and Materials Network","keywords":"Chemistry; Peptide; Hydrolysate; Cationic polymerization; Enzyme; Chromatography; Biochemistry; Hydrolysis; High-performance liquid chromatography; Organic chemistry","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":[0.0001642445,0.0005973604,0.0001929157,0.0002758774,0.0001505892,0.000214455,0.0001321587,0.0001995742,0.001522084],"category_scores_gemma":[0.0001800895,0.00009409402,0.0002344327,0.0001772369,0.0001644355,0.0002437703,0.0002283568,0.0003876568,0.0003350338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001840185,"about_ca_system_score_gemma":0.0001387913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007233632,"about_ca_topic_score_gemma":0.0009651842,"domain_scores_codex":[0.9999485,0.000007269317,0.000003097044,0.00001244657,0.000008543843,0.00002008496],"domain_scores_gemma":[0.9999028,0.00002337574,0.00001884811,0.000005536538,0.0000166736,0.00003268625],"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":[0.0002671605,0.000006732311,0.0001216654,0.00003206037,0.000004733973,0.00005773449,0.0000159735,0.00003835876,0.9980291,0.00004191662,0.00002237133,0.001362106],"study_design_scores_gemma":[0.00003994054,0.0004926421,0.006559847,0.0000165857,0.00003287977,0.0003660272,0.00005879255,0.0003669053,0.9890341,0.00009308106,0.002930491,0.00000875555],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898359,0.002337179,0.005822727,0.000106412,0.0000282645,0.00003801953,0.0003160582,0.00003335661,0.001481893],"genre_scores_gemma":[0.990602,0.001084427,0.003291607,0.00008152992,0.00002130124,0.00003129702,0.001227484,0.0000252985,0.003635036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001522084,"threshold_uncertainty_score":0.005091906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02125177450203935,"score_gpt":0.2621802024301548,"score_spread":0.2409284279281155,"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."}}