{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008445105,0.0001408479,0.0001718193,0.0001087871,0.0005639262,0.00007476464,0.0003713077,0.00004909252,0.0001927499],"category_scores_gemma":[0.0001475957,0.00009864791,0.00008353441,0.0002096081,0.0001199944,0.000006089002,0.0003623891,0.0003172107,0.000003343535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000035675,"about_ca_system_score_gemma":0.00009370108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001608817,"about_ca_topic_score_gemma":0.00002405721,"domain_scores_codex":[0.998526,0.0005005777,0.0002536685,0.0002403872,0.0002271259,0.0002521841],"domain_scores_gemma":[0.9994296,0.00004536026,0.0001768658,0.0002297212,0.0000341083,0.00008431109],"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":[0.0001699291,0.00005346712,0.001756015,0.000002559616,0.00006892285,0.00003851754,0.0002743219,0.0002917818,0.9784879,0.00001951344,0.01644021,0.002396883],"study_design_scores_gemma":[0.0008965765,0.0002693841,0.007011222,0.00002764889,0.00006059214,0.001770364,0.001917579,0.0008135767,0.9154323,0.0004612611,0.0710005,0.0003390468],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961907,0.001060954,0.00007080105,0.001944815,0.00009750274,0.00009483543,0.00002550707,0.000006227383,0.0005086046],"genre_scores_gemma":[0.9974353,0.0004682805,0.0002850064,0.0002740059,0.0001285794,0.00001252967,0.000009162319,0.0000182076,0.001368905],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06305563,"threshold_uncertainty_score":0.4337322,"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."}}