{"id":"W4386215945","doi":"10.1038/s41587-023-01910-9","title":"Strand-preferred base editing of organellar and nuclear genomes using CyDENT","year":2023,"lang":"en","type":"article","venue":"Nature Biotechnology","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":60,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute of Genetics","funders":"","keywords":"Genome editing; RNA editing; Transcription activator-like effector nuclease; Biology; Cytidine deaminase; Computational biology; Cas9; DNA; CRISPR; Genetics; Gene; RNA","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0007746008,0.000537397,0.000478479,0.0003615296,0.0004623279,0.001050744,0.0007866881,0.0007121195,0.003403132],"category_scores_gemma":[0.0005419375,0.000427283,0.0004422105,0.0002654838,0.0004900834,0.0004601337,0.0008312014,0.001498931,0.001086421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007944309,"about_ca_system_score_gemma":0.0006354229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001065174,"about_ca_topic_score_gemma":0.00226771,"domain_scores_codex":[0.9995321,0.00007970095,0.00003470847,0.0001567954,0.0001065594,0.00009025799],"domain_scores_gemma":[0.9996105,0.00009395432,0.00009559748,0.0001002899,0.00004181502,0.00005785896],"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":[0.000132453,0.00002061047,0.00009661954,0.00005267245,0.000009939698,0.00009825391,0.00004964813,0.0002745629,0.9932011,0.001607675,0.0001718919,0.004284588],"study_design_scores_gemma":[0.00001434385,0.00003647486,0.0001679551,0.00000500634,0.000005564661,0.00009246836,0.000009233472,0.0007831315,0.9948168,0.0001242373,0.003935683,0.000009021798],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8323991,0.001320081,0.1447192,0.0004576736,0.0003548838,0.0003718787,0.0008320823,0.002741368,0.0168037],"genre_scores_gemma":[0.9432049,0.0006425412,0.04015695,0.0001796452,0.00001968437,0.0001215293,0.001007236,0.0006527303,0.01401482],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003403132,"threshold_uncertainty_score":0.01138461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007120003430360656,"score_gpt":0.2765296464187992,"score_spread":0.2694096429884385,"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."}}