{"id":"W2917855738","doi":"10.1126/science.aaw7166","title":"Cytosine, but not adenine, base editors induce genome-wide off-target mutations in rice","year":2019,"lang":"en","type":"article","venue":"Science","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":684,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Genetics","funders":"National Key Research and Development Program of China; Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Genome; Biology; Computational biology; Genetics; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002556281,0.00009820682,0.00008101584,0.0001105799,0.00005718491,0.00002954361,0.0003080322,0.00005817016,0.00002502304],"category_scores_gemma":[0.0002011022,0.00009907137,0.00002931714,0.0004109221,0.0001047793,0.00001097583,0.0001066621,0.00008664237,0.00004738072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000219392,"about_ca_system_score_gemma":0.0001655155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001796157,"about_ca_topic_score_gemma":0.000009996669,"domain_scores_codex":[0.9990042,0.00001086887,0.0001385408,0.0003627587,0.0001984191,0.0002852036],"domain_scores_gemma":[0.9995006,0.00001677038,0.0000303909,0.000295121,0.00006782584,0.00008926271],"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":[0.000005261006,0.0000156738,0.006812376,0.000007133488,0.000001769067,0.000001843023,0.0000574488,0.004012803,0.988771,0.000005775249,0.0001608155,0.0001481146],"study_design_scores_gemma":[0.0002519719,0.000071592,0.1777408,0.000007125353,0.000002708756,0.000005613295,0.0001204559,0.0009152673,0.8101054,0.00001369646,0.01059437,0.0001710114],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954199,0.0002717825,0.002125447,0.0001665424,0.0008948369,0.0001342118,0.00001212009,0.00001027004,0.0009648473],"genre_scores_gemma":[0.9967588,0.00002090623,0.002086611,0.0001710252,0.0003885399,0.00001003862,0.00001896768,0.000009473729,0.0005356807],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1786656,"threshold_uncertainty_score":0.4040013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006153930249904703,"score_gpt":0.2649716723357672,"score_spread":0.2588177420858626,"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."}}