{"id":"W1973776098","doi":"10.1371/journal.pgen.1004933","title":"hnRNP K Coordinates Transcriptional Silencing by SETDB1 in Embryonic Stem Cells","year":2015,"lang":"en","type":"article","venue":"PLoS Genetics","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":105,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research; Universidad de Buenos Aires; Genome Institute of Singapore; Michael Smith Health Research BC; Natural Sciences and Engineering Research Council of Canada; RWTH Aachen University; University of Washington","keywords":"Biology; Gene silencing; Chromatin; Endogenous retrovirus; Gene knockdown; Embryonic stem cell; RNA interference; Repressor; Genetics; Molecular biology; Cell biology; Transcription factor; Gene; RNA; Genome","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":[0.0001256094,0.000179145,0.0001501403,0.00004830862,0.00002622529,0.00002299394,0.0001908021,0.0001471661,0.00001114396],"category_scores_gemma":[0.00000893642,0.0001959213,0.00005476383,0.0001019749,0.00003470946,0.000002631489,0.00005467694,0.0001091684,0.00001991154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003112191,"about_ca_system_score_gemma":0.00007884682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004110744,"about_ca_topic_score_gemma":0.00002168573,"domain_scores_codex":[0.9989407,0.00003454354,0.0002102197,0.0003139501,0.0001868429,0.0003137248],"domain_scores_gemma":[0.9994915,0.000009043565,0.00003280479,0.0002462286,0.00006985749,0.0001506138],"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":[0.00002075567,0.00006967367,0.001009118,0.00002657539,0.00002459453,0.000002845888,0.0001491988,0.007268105,0.9870352,0.000009597406,0.003880995,0.0005034033],"study_design_scores_gemma":[0.0006473146,0.0002098777,0.00009921963,0.00001749765,0.00001772586,0.000006368146,0.000266127,0.004921879,0.9793339,0.0000331044,0.01419547,0.0002514997],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9870099,0.009465318,0.002541083,0.00008790331,0.000220754,0.000165504,0.00004737847,0.00001903359,0.0004430922],"genre_scores_gemma":[0.9977193,0.0002996824,0.0005945393,0.0000990409,0.0001402851,0.00002071159,0.000062434,0.00003627549,0.001027664],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01070943,"threshold_uncertainty_score":0.7989438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01741670453844386,"score_gpt":0.259362698291663,"score_spread":0.2419459937532191,"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."}}