{"id":"W4293010756","doi":"10.1016/j.cj.2022.07.015","title":"BnbHLH92a negatively regulates anthocyanin and proanthocyanidin biosynthesis in Brassica napus","year":2022,"lang":"en","type":"article","venue":"The Crop Journal","topic":"Plant Gene Expression Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Higher Education Discipline Innovation Project; Agriculture Research System of China; National Natural Science Foundation of China","keywords":"Biology; Arabidopsis; Rapeseed; Anthocyanin; Brassica; Transcription factor; Structural gene; Flavonoid biosynthesis; Gene; Proanthocyanidin; Biochemistry; Biosynthesis; Regulator gene; Regulation of gene expression; Gene expression; Mutant; Botany; Transcriptome; Polyphenol","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006037153,0.0004707178,0.0001811298,0.0002215913,0.0002344278,0.0002188052,0.0001659823,0.0001284961,0.001533467],"category_scores_gemma":[0.00006316001,0.0001834855,0.0001944399,0.0001244249,0.0001576201,0.0001185469,0.0001995074,0.0003111375,0.0006926575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003582498,"about_ca_system_score_gemma":0.000171394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002782458,"about_ca_topic_score_gemma":0.00426066,"domain_scores_codex":[0.9999174,0.000009254087,0.000005422948,0.00002625766,0.00002544756,0.00001631461],"domain_scores_gemma":[0.9999291,0.00001034532,0.00001802566,0.00000664402,0.000008288916,0.00002760972],"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":[0.00002605323,0.000004137714,0.000127279,0.00001016126,0.000001168402,0.00001713895,0.000006463576,0.00001242,0.9995363,0.00001989005,0.00001979513,0.0002190976],"study_design_scores_gemma":[0.00004879112,0.0001586854,0.05748902,0.00001338513,0.00003465458,0.0004340642,0.00009207573,0.003012017,0.9307879,0.0001328091,0.007781352,0.00001521093],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944817,0.001303912,0.001491946,0.0001046706,0.00001930142,0.00001153451,0.0007497296,0.0001722959,0.001664921],"genre_scores_gemma":[0.9925784,0.0004392306,0.0009976539,0.00007035246,0.00000661603,0.00002109487,0.001625221,0.00005967576,0.004201753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002782458,"threshold_uncertainty_score":0.005532563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008271215615131555,"score_gpt":0.2265581189991474,"score_spread":0.2182869033840159,"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."}}