{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001542243,0.0001328046,0.0001368158,0.00008011092,0.00006861093,0.000009247851,0.00007962442,0.0001579781,0.00002088067],"category_scores_gemma":[0.00005128743,0.0001305096,0.00002465075,0.00008952028,0.00009853111,0.000002245387,0.0001493326,0.00006363201,0.000004298244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001639203,"about_ca_system_score_gemma":0.00002294632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009018095,"about_ca_topic_score_gemma":0.0001232306,"domain_scores_codex":[0.9991406,0.00004029962,0.0001670214,0.0003325474,0.00003076647,0.0002887332],"domain_scores_gemma":[0.9996636,0.0000097577,0.00003418734,0.000183026,0.00003929557,0.00007012822],"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":[0.00002993459,0.00001463069,0.004855082,0.00001411984,0.000007495856,0.000006092531,0.0001056183,0.00002798437,0.9935474,0.00000824651,0.0000213204,0.001362048],"study_design_scores_gemma":[0.002095696,0.0012226,0.04476514,0.00004411542,0.00003631048,0.0003580149,0.0004644395,0.002349021,0.9310974,0.0001156887,0.01676905,0.0006825466],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894156,0.002488265,0.007544208,0.00004972799,0.0002073431,0.0001081613,0.00001198755,0.000009599265,0.0001651468],"genre_scores_gemma":[0.9964793,0.0001514036,0.00229451,0.0001194562,0.0008309318,0.000006591319,0.00005337077,0.00001570331,0.00004870449],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06245005,"threshold_uncertainty_score":0.5322028,"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."}}