{"id":"W1941336070","doi":"10.1186/s13072-015-0023-7","title":"Strategies for precision modulation of gene expression by epigenome editing: an overview","year":2015,"lang":"en","type":"review","venue":"Epigenetics & Chromatin","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Genome editing; Epigenome; Biology; Effector; CRISPR; Computational biology; Transcription activator-like effector nuclease; Zinc finger nuclease; Cas9; Epigenetics; Genetics; Genomics; Genome; DNA methylation; Gene; Gene expression; Cell biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006696567,0.00101028,0.001332975,0.003096538,0.000304681,0.0009141376,0.0008837958,0.001090697,0.003228954],"category_scores_gemma":[0.0004911092,0.0004196957,0.0005646852,0.002072154,0.0005743481,0.001505237,0.0007437345,0.001687912,0.002344905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007157333,"about_ca_system_score_gemma":0.000814806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007858348,"about_ca_topic_score_gemma":0.00112666,"domain_scores_codex":[0.9997942,0.00003154536,0.00002717316,0.00004143243,0.00008407058,0.00002167611],"domain_scores_gemma":[0.9997639,0.0001306118,0.00003067941,0.00001059416,0.00004169019,0.00002252382],"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":[0.00004858983,0.00008735426,0.0001745729,0.02307563,0.00009563861,0.0003436301,0.00009191161,0.0006570556,0.01048723,0.01320909,0.01867131,0.933058],"study_design_scores_gemma":[0.000008042822,0.00007840579,0.0003036764,0.001330493,0.00005719236,0.001132095,0.00003532428,0.0001094804,0.002374378,0.002240633,0.9923084,0.00002179481],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001850329,0.9969732,0.0007942609,0.0001740406,0.00009858757,0.000009198162,0.00002673505,0.00001572691,0.001723288],"genre_scores_gemma":[0.00103069,0.9971721,0.0008199411,0.0001233293,0.00005789076,0.00001386568,0.00004262503,0.000003520091,0.0007360693],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003228954,"threshold_uncertainty_score":0.01080197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05798794850904982,"score_gpt":0.3947767803478088,"score_spread":0.336788831838759,"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."}}