{"id":"W4366829167","doi":"10.3390/biomedicines11051238","title":"Increasing Specificity of Targeted DNA Methylation Editing by Non-Enzymatic CRISPR/dCas9-Based Steric Hindrance","year":2023,"lang":"en","type":"review","venue":"Biomedicines","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research; Faculty of Medicine and Health, University of Sydney; McGill University","keywords":"Epigenetics; Epigenome; CRISPR; Genome editing; DNA methylation; Computational biology; Biology; DNA; Genetics; Bioinformatics; Gene; Gene expression","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005254768,0.0004077743,0.001027511,0.0002502557,0.00005536433,0.00001625611,0.0002679258,0.0003488006,0.00001650855],"category_scores_gemma":[0.0003148598,0.0003505177,0.000257784,0.00054691,0.00009839283,0.000003396573,0.00008115947,0.0001479434,0.00001202605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000031178,"about_ca_system_score_gemma":0.0001153857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004767068,"about_ca_topic_score_gemma":0.000004773174,"domain_scores_codex":[0.9980628,0.000113682,0.0007903524,0.000462869,0.0002661381,0.0003041808],"domain_scores_gemma":[0.9988098,0.0001102986,0.0004500313,0.0004329752,0.0001012854,0.00009565656],"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":[0.00003727318,0.0001156133,0.00005116804,0.05316696,0.0005072769,0.00001615706,0.00009450661,0.00005614385,0.3221088,0.000001915121,0.01326354,0.6105806],"study_design_scores_gemma":[0.0005376767,0.0002551015,0.00006628476,0.01056546,0.0006101389,0.00002363615,0.0000818965,0.0005306098,0.03727327,0.000004775261,0.9493885,0.0006626595],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001865404,0.9773281,0.01911346,0.00002027135,0.0008578712,0.0005337299,0.0001722681,0.00004269534,0.0000661939],"genre_scores_gemma":[0.006980706,0.9866291,0.001616909,0.00003063681,0.00182556,0.00007047182,0.002505736,0.0001445552,0.0001963196],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9361249,"threshold_uncertainty_score":0.9998947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02655895106238309,"score_gpt":0.3539314303216908,"score_spread":0.3273724792593077,"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."}}