{"id":"W2470683212","doi":"10.1371/journal.pone.0158294","title":"Targeted HIV-1 Latency Reversal Using CRISPR/Cas9-Derived Transcriptional Activator Systems","year":2016,"lang":"en","type":"article","venue":"PLoS ONE","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Leibniz-Gemeinschaft; York University; Deutsches Zentrum für Infektionsforschung","keywords":"Provirus; CRISPR; Cas9; Biology; Long terminal repeat; Gene silencing; Computational biology; Virus latency; Transcription (linguistics); Guide RNA; Genetics; RNA interference; Genome; Genome editing; Trans-activating crRNA; Cell biology; Gene; Viral replication; RNA; Cell culture","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":[0.0001900842,0.0003946742,0.0003734227,0.0002126338,0.0001914525,0.0006480569,0.0004558955,0.0004780593,0.001291239],"category_scores_gemma":[0.00024466,0.0001772068,0.0003617704,0.0001395513,0.0002748171,0.0003108336,0.0004148682,0.0009982801,0.0005342761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003868922,"about_ca_system_score_gemma":0.0003600542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003640094,"about_ca_topic_score_gemma":0.0006514486,"domain_scores_codex":[0.9997341,0.00003328103,0.00003150002,0.00008746035,0.00007285513,0.00004081661],"domain_scores_gemma":[0.9998567,0.00003511614,0.00005114746,0.00001935499,0.00001473709,0.00002286668],"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":[0.00002942817,0.00002046862,0.00007730335,0.00004163173,0.000005007029,0.00005200122,0.00001061875,0.00018202,0.9971043,0.0003221336,0.00004894865,0.002106127],"study_design_scores_gemma":[0.000007519085,0.0001041264,0.0002958633,0.000004305536,0.0000116383,0.0001593716,0.000009747861,0.001732721,0.9953313,0.0000877218,0.002247672,0.000008030785],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8419235,0.003969776,0.1443319,0.0003283771,0.000182442,0.0002864322,0.0008363436,0.001507434,0.006633716],"genre_scores_gemma":[0.9419486,0.0015765,0.04991926,0.0001038621,0.00002023954,0.0001066637,0.0007171654,0.00008627564,0.005521478],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001291239,"threshold_uncertainty_score":0.004319668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03004035391536666,"score_gpt":0.2547009735320926,"score_spread":0.224660619616726,"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."}}