{"id":"W2089316366","doi":"10.4161/rna.23686","title":"HMGA1 directly interacts with TAR to modulate basal and Tat-dependent HIV transcription","year":2013,"lang":"en","type":"article","venue":"RNA Biology","topic":"HIV Research and Treatment","field":"Immunology and Microbiology","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"George Washington University","keywords":"Transactivation; Transcription (linguistics); HIV Long Terminal Repeat; RNA polymerase II; General transcription factor; Transcription factor II D; Molecular biology; Transcription factor; Biology; Gene knockdown; Transcription factor II F; RNA polymerase II holoenzyme; RNA; Response element; Promoter; Chemistry; Cell biology; RNA polymerase; Long terminal repeat; Transcriptional regulation; Gene expression; Biochemistry; Genetics; Cell culture","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001617747,0.0002228947,0.0002122412,0.0001726774,0.0001915001,0.0004266548,0.0001883375,0.0001792579,0.001350244],"category_scores_gemma":[0.0001442951,0.0001748903,0.0001902246,0.0001104251,0.0002962849,0.0002252653,0.0003349246,0.0004489947,0.0003979848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003452463,"about_ca_system_score_gemma":0.0001603414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003741097,"about_ca_topic_score_gemma":0.0006430547,"domain_scores_codex":[0.9998117,0.00003930387,0.00001232397,0.00003114605,0.00004058924,0.00006498797],"domain_scores_gemma":[0.9999058,0.00002592458,0.00001882397,0.00001000079,0.000007914624,0.00003157633],"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":[0.0001381143,0.00001767561,0.0002378768,0.00002384761,0.00000351751,0.00002591789,0.00001533671,0.00003376769,0.9986916,0.0001295553,0.00002290908,0.0006598351],"study_design_scores_gemma":[0.00001613293,0.0001481118,0.00499452,0.000006373559,0.00001454862,0.00007954692,0.00003012838,0.000984105,0.9924411,0.00008753266,0.001193761,0.000004205127],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927551,0.0033012,0.00200233,0.00008417073,0.00003539824,0.00002443062,0.0001834963,0.00007391374,0.001539947],"genre_scores_gemma":[0.9965911,0.0007010706,0.001033021,0.00003926614,0.00001382017,0.00002632594,0.0001783718,0.00001469869,0.001402399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001350244,"threshold_uncertainty_score":0.004517078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01027413279406875,"score_gpt":0.2397006567538564,"score_spread":0.2294265239597877,"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."}}