{"id":"W2325096860","doi":"10.1021/jf200338b","title":"Phenolics, Phytic Acid, and Phytase in Canadian-Grown Low-Tannin Faba Bean (Vicia faba L.) Genotypes","year":2011,"lang":"en","type":"article","venue":"Journal of Agricultural and Food Chemistry","topic":"Phytase and its Applications","field":"Agricultural and Biological Sciences","cited_by":98,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture Food and Rural Development; Agriculture and Agri-Food Canada","funders":"","keywords":"Vicia faba; Phytic acid; Tannin; Phytase; Biology; Food science; Catechin; Legume; Condensed tannin; Genotype; Antinutrient; Polyphenol; Horticulture; Proanthocyanidin; Agronomy; Chemistry; Botany; Antioxidant; Biochemistry; Enzyme","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002837215,0.0003343611,0.0004052804,0.0009453493,0.0006545734,0.0005018595,0.0002649881,0.0002391819,0.0002794882],"category_scores_gemma":[0.0003305039,0.0002463672,0.0002433741,0.0009041215,0.000406846,0.0001021491,0.0001807228,0.0002729748,0.00008970936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004379284,"about_ca_system_score_gemma":0.002153129,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6049536,"about_ca_topic_score_gemma":0.8087288,"domain_scores_codex":[0.9997466,0.00003014083,0.00001103202,0.00007453998,0.00008578067,0.00005179982],"domain_scores_gemma":[0.9996011,0.00004044773,0.00006760923,0.00002141511,0.0001574547,0.0001121438],"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":[0.001312496,0.0001483679,0.1321244,0.00005152031,0.0001064971,0.0002664039,0.0007821666,0.0004634215,0.8590385,0.0000721367,0.00007757486,0.00555647],"study_design_scores_gemma":[0.00001493436,0.0001536539,0.980774,0.000002915889,0.00005272664,0.0001302849,0.0002890511,0.0005595979,0.01759898,0.00001588449,0.0003946262,0.00001337356],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995154,0.00006728589,0.0001031151,0.000008146963,6.937981e-7,0.000003958912,0.0001798846,0.000004056631,0.0001175033],"genre_scores_gemma":[0.9973822,0.00008155329,0.0006795849,0.00001684833,6.887723e-7,0.000004532132,0.0007692419,0.00001082203,0.001054362],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3950464,"threshold_uncertainty_score":0.7947457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01387744969543257,"score_gpt":0.1827505712526283,"score_spread":0.1688731215571957,"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."}}