{"id":"W2107895168","doi":"10.1139/o06-062","title":"GAGA protein: a multi-faceted transcription factorThis paper is one of a selection of papers published in this Special Issue, entitled 27th International West Coast Chromatin and Chromosome Conference, and has undergone the Journal's usual peer review process.","year":2006,"lang":"en","type":"review","venue":"Biochemistry and Cell Biology","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Office of Experimental Program to Stimulate Competitive Research; National Science Foundation","keywords":"Chromatin; Heterochromatin; Nucleosome; Biology; Transcription (linguistics); Psychological repression; DNA; Gene; Activator (genetics); Transcription factor; Chromatin remodeling; Histone; Genetics; Gene expression; Computational biology; Cell biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0003327632,0.0007346229,0.0009302309,0.001647286,0.0002818037,0.0008937543,0.000647224,0.0007963747,0.002463938],"category_scores_gemma":[0.0002938162,0.0002342707,0.0002605022,0.001742575,0.0004077107,0.0008593386,0.0004168919,0.0008913013,0.003865759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006033766,"about_ca_system_score_gemma":0.0008482683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008192968,"about_ca_topic_score_gemma":0.00128193,"domain_scores_codex":[0.9998838,0.0000105729,0.00001177054,0.00002840378,0.00005346655,0.00001193851],"domain_scores_gemma":[0.9998991,0.00002611723,0.00001685322,0.000004077866,0.00003434951,0.00001948743],"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":[0.00006799527,0.00004052829,0.0003117357,0.00532518,0.00004285697,0.0003223405,0.00004546521,0.0001755943,0.01238206,0.00208783,0.02515472,0.9540436],"study_design_scores_gemma":[0.000008678367,0.00003480821,0.0008988219,0.0004926484,0.00003257774,0.002082795,0.00003023495,0.00004952602,0.00246558,0.0005569584,0.9933363,0.00001116165],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003972866,0.9965138,0.0004275197,0.0002996532,0.000378351,0.000007782471,0.00003715463,0.00002116359,0.001917272],"genre_scores_gemma":[0.001937849,0.9934143,0.0007504499,0.0002226219,0.0001822673,0.000009782453,0.0001302328,0.000005064776,0.003347364],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002463938,"threshold_uncertainty_score":0.008242667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02168217930712224,"score_gpt":0.2630010582852768,"score_spread":0.2413188789781546,"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."}}