{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008768016,0.0002867759,0.0003282039,0.0003393831,0.0002591768,0.0002687107,0.0001395811,0.0001768409,0.0009644924],"category_scores_gemma":[0.00007239918,0.0001587844,0.0003952071,0.0003327315,0.0001273911,0.0002354614,0.000130955,0.0004110717,0.0003454488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002437645,"about_ca_system_score_gemma":0.0001710402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009450346,"about_ca_topic_score_gemma":0.001391324,"domain_scores_codex":[0.9999291,0.000005526185,0.000005023229,0.00002729626,0.00001334696,0.00001976689],"domain_scores_gemma":[0.9999173,0.0000144998,0.00001581504,0.000007170603,0.00001920139,0.00002597492],"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":[0.0001297564,0.000004831064,0.0004747671,0.00002198317,0.000003854092,0.00001961659,0.00001682195,0.00001566509,0.9987673,0.00001536702,0.00001509081,0.0005149355],"study_design_scores_gemma":[0.00003297994,0.0004194377,0.2630854,0.00001692954,0.0002165998,0.0009183314,0.0003435929,0.001581358,0.7280074,0.0001295374,0.005229307,0.00001908729],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941217,0.001737165,0.001472884,0.00005040399,0.00001237444,0.00001464652,0.001688917,0.00003610568,0.0008658194],"genre_scores_gemma":[0.9831723,0.001065393,0.002947607,0.0000744106,0.00002357094,0.00004519149,0.008510679,0.00003917305,0.004121634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009644924,"threshold_uncertainty_score":0.003226578,"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."}}