{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007739197,0.0001484608,0.0001628213,0.00003783205,0.00005512503,0.00001566852,0.0001164216,0.0001303046,0.00007281446],"category_scores_gemma":[0.00004316555,0.0001225187,0.00006615003,0.00005227293,0.0000344582,0.000006464112,0.00003079476,0.00005709155,0.00002441004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002796637,"about_ca_system_score_gemma":0.00004692706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001201506,"about_ca_topic_score_gemma":0.000001855457,"domain_scores_codex":[0.9990553,0.0000307483,0.0001788863,0.0002814962,0.0001784042,0.0002751654],"domain_scores_gemma":[0.9995322,0.000009588486,0.00004089574,0.0002350154,0.00007750197,0.0001048439],"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":[0.00004411087,0.0001371364,0.001194048,0.00005376884,0.000170539,0.000002579675,0.00002608479,0.00006438847,0.9980006,0.0000231802,0.0002162027,0.00006731751],"study_design_scores_gemma":[0.0006332187,0.00008780056,0.001988633,0.0001318519,0.00006878863,0.000007445368,0.00003122061,0.0006228738,0.9948379,0.000008515211,0.001349033,0.0002326528],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9540188,0.001038557,0.04421989,0.0001560354,0.0001526362,0.0001775646,0.00007846216,0.00003220512,0.0001258682],"genre_scores_gemma":[0.9957815,0.0001458143,0.002669111,0.00003598669,0.0004448443,0.00001780931,0.0000406345,0.00003345938,0.0008308461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04176271,"threshold_uncertainty_score":0.4996169,"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."}}