{"id":"W4410430731","doi":"10.1038/s41587-025-02676-y","title":"Author Correction: Efficient C-to-T base editing in plants using a fusion of nCas9 and human APOBEC3A","year":2025,"lang":"en","type":"erratum","venue":"Nature Biotechnology","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute of Genetics","funders":"","keywords":"Fusion; Base (topology); Computer science; Computational biology; Biology; Linguistics; Philosophy; Mathematics","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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0001960105,0.0002753579,0.0003726246,0.0005970977,0.00006681949,0.000008968884,0.0002261464,0.003799349,0.000005498636],"category_scores_gemma":[0.0002756499,0.0002918957,0.00006644104,0.0003059692,0.00007508811,7.840297e-7,0.0004051835,0.001416143,4.561881e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003949994,"about_ca_system_score_gemma":0.00009523604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006259763,"about_ca_topic_score_gemma":0.0002165418,"domain_scores_codex":[0.9986029,0.00002856833,0.000343427,0.0006028723,0.0001266367,0.0002955846],"domain_scores_gemma":[0.9993286,0.0000123587,0.0001311403,0.0004209478,0.00005723479,0.00004976115],"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":[0.00004818773,0.00006998663,0.0001589373,0.0003014333,0.00004849561,0.00002509834,0.00003851329,0.001193185,0.834916,0.0000841779,0.1579857,0.005130298],"study_design_scores_gemma":[0.0006169409,0.0003984978,0.000535537,0.001134123,0.00005824301,0.000135926,0.0001824798,0.004259252,0.6166347,0.00001896266,0.3754638,0.000561522],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9027336,0.02666032,0.008946717,0.001389919,0.05614232,0.001218321,0.0002592551,0.0001500418,0.002499494],"genre_scores_gemma":[0.9786187,0.0003578106,0.002504218,0.00017944,0.001571453,0.00002422157,0.0005031208,0.00006874265,0.0161723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2182813,"threshold_uncertainty_score":0.9999533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005774211474567483,"score_gpt":0.3029117542339779,"score_spread":0.2971375427594105,"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."}}