{"id":"W2017293108","doi":"10.1016/j.tplants.2004.12.008","title":"Whirly transcription factors: defense gene regulation and beyond","year":2005,"lang":"en","type":"review","venue":"Trends in Plant Science","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":148,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Biology; Transcription factor; Gene; Genetics; Transcription (linguistics); Regulation of gene expression; Computational biology; Cell biology; Evolutionary biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002278556,0.0002080701,0.0002987106,0.0003073284,0.00005679217,0.00003788204,0.0001884383,0.0001625843,0.00001000806],"category_scores_gemma":[0.00001457899,0.0001772597,0.00007202993,0.0003539525,0.0001148498,0.000007521016,0.00004158643,0.0001018759,0.000001535516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000028832,"about_ca_system_score_gemma":0.00005814367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006739187,"about_ca_topic_score_gemma":0.00006062906,"domain_scores_codex":[0.9988877,0.00002056067,0.0002418819,0.0004575776,0.000154118,0.0002381231],"domain_scores_gemma":[0.9996146,0.000008429944,0.00006182249,0.0002282486,0.00001379611,0.0000731047],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003480204,0.00001438632,0.00002020681,0.0002024263,0.00000741905,0.000001967739,0.00008919314,0.00006769237,0.009433124,0.00004375089,0.0001020331,0.9900143],"study_design_scores_gemma":[0.0002084441,0.0001022511,0.001101314,0.0005129421,0.00009245289,0.0001406125,0.00002030971,0.0001901191,0.003324367,0.00001080259,0.9937847,0.0005116371],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003260099,0.9952585,0.0004276505,0.000005892676,0.0001747016,0.00009436971,0.0001146154,0.00001009463,0.0006541286],"genre_scores_gemma":[0.01772689,0.9807259,0.0006284671,0.000007631415,0.0001160029,0.000009714976,0.0005086439,0.00001426123,0.0002624286],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9936827,"threshold_uncertainty_score":0.7228439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03000558035703953,"score_gpt":0.3364507054812187,"score_spread":0.3064451251241792,"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."}}