{"id":"W4413089152","doi":"10.1002/sfp2.70021","title":"Dry Fractionation of Canadian Faba Bean Genotypes Differing in Seed Size and Levels of Vicine, Convicine and Seed Coat Tannins","year":2025,"lang":"en","type":"article","venue":"Sustainable Food Proteins","topic":"Phytase and its Applications","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; Prairie Improvement Network; Canadian International Grains Institute; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"Vicia faba; Fractionation; Tannin; Proanthocyanidin; Coat; Fraction (chemistry); Biology; Genotype; Ingredient; Agronomy; Horticulture; Animal science; Botany; Food science; Chemistry; Polyphenol; Chromatography; Antioxidant","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0001354457,0.000399506,0.000236691,0.0006067748,0.0004578465,0.0003525284,0.0002475945,0.0001723238,0.0004740536],"category_scores_gemma":[0.0001498418,0.0001821919,0.000270943,0.0003556545,0.0002879493,0.0001121856,0.0002420479,0.0002941958,0.0001023122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001999203,"about_ca_system_score_gemma":0.0007838936,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2481123,"about_ca_topic_score_gemma":0.4291751,"domain_scores_codex":[0.9998553,0.000007581825,0.000006767948,0.00005126791,0.00003842247,0.00004069764],"domain_scores_gemma":[0.9997482,0.00002613635,0.00004427394,0.00001886008,0.0000796532,0.00008296822],"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":[0.0001737653,0.00001038312,0.004469682,0.00001295054,0.00001692762,0.00002561018,0.00009390104,0.00003482632,0.9943935,0.00001999772,0.0000134753,0.0007349187],"study_design_scores_gemma":[0.00001020658,0.000214255,0.8464369,0.000004454475,0.00005882693,0.0001720296,0.0002381805,0.0005090052,0.1508114,0.00002012692,0.001507418,0.00001731604],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990489,0.00008879133,0.0003204895,0.000006773863,0.000001208978,0.000005507416,0.0002620928,0.00001011787,0.000256022],"genre_scores_gemma":[0.9953767,0.00009449612,0.0010475,0.00002633609,8.861592e-7,0.000008670984,0.00129125,0.00003210687,0.002122112],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7518877,"threshold_uncertainty_score":0.4933363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00940530977132586,"score_gpt":0.2086068715708398,"score_spread":0.1992015617995139,"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."}}