{"id":"W4378347478","doi":"10.1093/plcell/koad155","title":"Bacterium-enabled transient gene activation by artificial transcription factors for resolving gene regulation in maize","year":2023,"lang":"en","type":"article","venue":"The Plant Cell","topic":"Plant tissue culture and regeneration","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Colorado Agricultural Experiment Station; Institute of Genetics; Agricultural Science and Technology Innovation Program; Chinese Academy of Agricultural Sciences; U.S. Department of Energy; National Institute of Food and Agriculture; Chinese Academy of Sciences; National Science Foundation","keywords":"Biology; Gene; Transcription factor; Transcription (linguistics); Transient (computer programming); Genetics; Regulation of gene expression; Cell biology; Computational biology; Biotechnology; Computer science","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":[0.0001807648,0.0001096339,0.0000894332,0.00004232374,0.000123691,0.00002454139,0.00007849529,0.0001283028,0.000006726431],"category_scores_gemma":[0.0000122543,0.00007998941,0.00005892683,0.0001031749,0.00001494233,0.000008354973,0.000006925826,0.00005069033,0.000004549096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001972935,"about_ca_system_score_gemma":0.00002614001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007095806,"about_ca_topic_score_gemma":0.0002925492,"domain_scores_codex":[0.9993017,0.00004409565,0.0001765089,0.0002071176,0.00008665466,0.0001839355],"domain_scores_gemma":[0.9997565,0.00002152886,0.00005521613,0.0001170202,0.00002383455,0.00002588766],"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":[0.0001742164,0.0000262704,0.00002716093,0.00001412708,0.00001039594,4.486675e-7,0.0004551141,0.001054998,0.9920129,0.00001194581,0.006024595,0.0001878578],"study_design_scores_gemma":[0.0003327168,0.00005949564,0.001202749,0.000007569565,0.00001621407,0.000002230727,0.0001024534,0.001302893,0.9736739,0.00002674326,0.02316184,0.000111231],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938501,0.0001279953,0.004794012,0.0003300486,0.0001689351,0.0003882214,0.00025174,0.00002175407,0.00006726754],"genre_scores_gemma":[0.9863601,0.0001284082,0.00007196949,0.00004247714,0.000208183,0.000036688,0.01165126,0.00001429659,0.001486661],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.018339,"threshold_uncertainty_score":0.3261873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02350589498951824,"score_gpt":0.2162072694970442,"score_spread":0.192701374507526,"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."}}