{"id":"W4320918416","doi":"10.3389/fpls.2023.1093656","title":"GbFLSa overexpression negatively regulates proanthocyanin biosynthesis","year":2023,"lang":"en","type":"article","venue":"Frontiers in Plant Science","topic":"Plant Gene Expression Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Special Fund for Forest Scientific Research in the Public Welfare; National Key Research and Development Program of China; Priority Academic Program Development of Jiangsu Higher Education Institutions; Government of Jiangsu Province; National Natural Science Foundation of China","keywords":"Biosynthesis; Biochemistry; Ginkgo; Biology; Flavonoid; Flavonoid biosynthesis; Ginkgo biloba; Gene; Escherichia coli; Reductase; Enzyme; Gene expression; Botany; Transcriptome","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007078165,0.0001533242,0.0001781293,0.0004571831,0.0001910458,0.00005117474,0.0006283883,0.0001046996,0.00001222242],"category_scores_gemma":[0.0004283899,0.0001295877,0.00005547335,0.001243897,0.0003295607,0.00001934734,0.0002814527,0.00008829634,0.00002773063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003411906,"about_ca_system_score_gemma":0.0001458175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001422163,"about_ca_topic_score_gemma":0.000007613056,"domain_scores_codex":[0.9982463,0.00007017743,0.0002105507,0.000625068,0.0003960537,0.0004518389],"domain_scores_gemma":[0.9993529,0.00002217223,0.00009474442,0.0003696677,0.00004014151,0.0001203433],"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":[0.00004291452,0.00001703225,0.01235757,0.000005318894,0.000008218341,0.000008786901,0.00006473414,0.0002413427,0.8648603,0.00001391271,0.1213332,0.00104661],"study_design_scores_gemma":[0.000193959,0.00004169837,0.01042993,0.00009010168,0.000005588479,0.000009882782,0.0002940859,0.01011688,0.9642207,0.0001781898,0.01419092,0.0002280454],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965138,0.00007872328,0.0008354954,0.000177128,0.0004020099,0.0001602529,0.0001501233,0.00005129608,0.001631119],"genre_scores_gemma":[0.9917839,0.0002203007,0.005848415,0.00008993482,0.00005927946,0.00002010728,0.0001284995,0.00001282403,0.001836703],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1071423,"threshold_uncertainty_score":0.5284435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009979709685165653,"score_gpt":0.2405528525711216,"score_spread":0.2305731428859559,"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."}}