{"id":"W2806478486","doi":"10.1186/s13059-018-1443-z","title":"Expanded base editing in rice and wheat using a Cas9-adenosine deaminase fusion","year":2018,"lang":"en","type":"article","venue":"Genome biology","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":496,"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":"Biology; CRISPR; Cytosine; Genome editing; Cas9; Point mutation; Thymine; Adenosine deaminase; Gene; Genetics; Cytosine deaminase; Rice plant; Base (topology); Computational biology; Base pair; Adenosine; Mutation; Biochemistry; DNA; Agronomy; Genetic enhancement","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":[0.0002485609,0.0003552926,0.0003419349,0.0002145113,0.0001951813,0.0004328396,0.0003195596,0.0003890441,0.0009726686],"category_scores_gemma":[0.0001676449,0.0002257921,0.000302528,0.0001544259,0.0002341568,0.0003085304,0.0005195324,0.0005848584,0.0005504456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003115147,"about_ca_system_score_gemma":0.0002112741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005811847,"about_ca_topic_score_gemma":0.0008563881,"domain_scores_codex":[0.9997906,0.00001849387,0.00002954124,0.00006549249,0.00007252434,0.00002330672],"domain_scores_gemma":[0.9999005,0.00001659294,0.00002423264,0.00002341087,0.0000109373,0.00002439774],"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":[0.00003078553,0.000006377574,0.00007873259,0.0000242208,0.000003454689,0.00007006851,0.00001357531,0.0001024111,0.9965329,0.0002376324,0.00003966709,0.002860159],"study_design_scores_gemma":[0.00001992511,0.0001592135,0.001517696,0.000005986061,0.00002275775,0.0006754261,0.00002057615,0.00148491,0.9845212,0.0002108506,0.01134762,0.00001381244],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8798223,0.002958726,0.1068733,0.0002216372,0.0002510559,0.0001467759,0.0008451936,0.001682823,0.007198201],"genre_scores_gemma":[0.9114111,0.001571153,0.07265037,0.0001131355,0.0000239931,0.00006432937,0.001387898,0.0002060555,0.01257181],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009726686,"threshold_uncertainty_score":0.003253877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0128457731064751,"score_gpt":0.3130833730037014,"score_spread":0.3002375998972263,"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."}}