{"id":"W2060637196","doi":"10.1016/j.ygeno.2014.07.008","title":"Transcriptome analysis of newly classified bZIP transcription factors of Brassica rapa in cold stress response","year":2014,"lang":"en","type":"article","venue":"Genomics","topic":"Plant Gene Expression Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":51,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Rural Development Administration; Korea Forest Service; Ministry of Agriculture, Food and Rural Affairs; Ministry of Oceans and Fisheries; Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Brassica rapa; Biology; Transcriptome; Gene; Transcription factor; bZIP domain; Genetics; Transcription (linguistics); Arabidopsis; Microarray analysis techniques; Gene expression; Brassica; DNA-binding protein; Botany; Mutant","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000391889,0.0001666317,0.0004763242,0.0004633629,0.00002361879,0.000009023453,0.0002699162,0.0002018103,0.00002374017],"category_scores_gemma":[0.00007303892,0.0001581376,0.0003515302,0.0004934423,0.00007594671,0.000004859373,0.00002408642,0.00008106097,6.551276e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002587005,"about_ca_system_score_gemma":0.00005725207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005552721,"about_ca_topic_score_gemma":0.0004518115,"domain_scores_codex":[0.9985561,0.0002938914,0.000491865,0.0003230182,0.0001399536,0.0001952064],"domain_scores_gemma":[0.999144,0.00005584832,0.0002109703,0.0004443157,0.0000657598,0.00007907891],"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":[0.0008093124,0.0001060667,0.01161067,0.00001598517,0.0004587575,5.031196e-7,0.0002866195,0.00466377,0.9816553,0.00005240547,0.0002418403,0.00009879402],"study_design_scores_gemma":[0.0006608574,0.0001350486,0.02349856,0.0000101453,0.0004242719,2.471959e-7,0.0002175132,0.002290196,0.9659281,0.00001035332,0.006664615,0.0001600664],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943833,0.00009168232,0.004785727,0.00006357426,0.00004843694,0.00009817997,0.0002647761,0.000005529437,0.0002587347],"genre_scores_gemma":[0.9989918,0.00008924089,0.0002413031,0.00005803831,0.00001970547,0.00000486097,0.0003293132,0.00001588567,0.0002498627],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01572715,"threshold_uncertainty_score":0.6448666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01193135681130736,"score_gpt":0.233513534311278,"score_spread":0.2215821774999706,"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."}}