{"id":"W2315287473","doi":"10.1021/jf2033939","title":"Identification of Two Anthocyanidin Reductase Genes and Three Red-Brown Soybean Accessions with Reduced <i>Anthocyanidin Reductase 1</i> mRNA, Activity, and Seed Coat Proanthocyanidin Amounts","year":2011,"lang":"en","type":"article","venue":"Journal of Agricultural and Food Chemistry","topic":"Plant Gene Expression Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Carleton University; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; Agence Nationale de la Recherche; U.S. Department of Agriculture","keywords":"Anthocyanidin; Proanthocyanidin; Coat; Biology; Mutant; Reductase; Biochemistry; Cyanidin; Gallic acid; Botany; Gene; Anthocyanin; Enzyme; Polyphenol; Antioxidant","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":[0.0001506813,0.0004506698,0.0002505128,0.0004186762,0.0001696692,0.0002238989,0.0002160013,0.0003269154,0.0007190367],"category_scores_gemma":[0.0001670365,0.0002610758,0.0003897963,0.0002035385,0.0002498245,0.00009536889,0.0002926789,0.0004484282,0.0002491147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003864075,"about_ca_system_score_gemma":0.0001980025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001250972,"about_ca_topic_score_gemma":0.002069886,"domain_scores_codex":[0.9998604,0.00001364768,0.0000160851,0.00005801528,0.00002745436,0.00002440082],"domain_scores_gemma":[0.9997855,0.00003371285,0.00007685581,0.00002602391,0.00001975495,0.00005817326],"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":[0.0000667905,0.00001583789,0.0006783712,0.0000118551,0.00000746744,0.00006037714,0.00002450068,0.00002489011,0.9984915,0.00003468979,0.000009299381,0.0005744118],"study_design_scores_gemma":[0.0001772085,0.00078968,0.2762188,0.00001728091,0.0002385654,0.003964591,0.0002636863,0.002761179,0.7106105,0.0002326263,0.004659554,0.00006639637],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972147,0.0001201963,0.001545862,0.00003978951,0.000008707135,0.00002378207,0.0006323397,0.00005887669,0.0003558109],"genre_scores_gemma":[0.9885084,0.0001392438,0.004435655,0.00008361325,0.000005440254,0.0000416205,0.004597111,0.00007108871,0.002117757],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001250972,"threshold_uncertainty_score":0.002803564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01547468780560149,"score_gpt":0.2336368583996773,"score_spread":0.2181621705940758,"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."}}