{"id":"W3034739500","doi":"10.1186/s13059-020-02051-x","title":"SWISS: multiplexed orthogonal genome editing in plants with a Cas9 nickase and engineered CRISPR RNA scaffolds","year":2020,"lang":"en","type":"article","venue":"Genome biology","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Genetics","funders":"Chinese Academy of Sciences; Institute of Microbiology, Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Genome editing; CRISPR; Biology; Cas9; Cytidine deaminase; RNA editing; Computational biology; Guide RNA; Indel; Genetics; RNA; DNA; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002386352,0.0005924166,0.0003943502,0.000298516,0.0001912835,0.0004186963,0.00046467,0.0003974625,0.001244823],"category_scores_gemma":[0.0001192058,0.0003003287,0.0004501875,0.0001822202,0.0003052698,0.0003362579,0.0007221307,0.0007066423,0.0008181195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002519844,"about_ca_system_score_gemma":0.0002290376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003716746,"about_ca_topic_score_gemma":0.0007231678,"domain_scores_codex":[0.9997712,0.00002136913,0.00001662363,0.00007925435,0.00007996032,0.00003169934],"domain_scores_gemma":[0.999855,0.00002224532,0.00004679062,0.00003283152,0.00001059167,0.00003242118],"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":[0.00006669061,0.00001975534,0.0001259968,0.00003200269,0.000008634667,0.00007733222,0.00001166237,0.0002481432,0.9949259,0.0003457217,0.0001372846,0.004000939],"study_design_scores_gemma":[0.00002186781,0.0001900565,0.0009027213,0.000003791441,0.00001805286,0.0006103276,0.00001002558,0.002941693,0.9889765,0.0001198923,0.006186259,0.00001875197],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.702251,0.001285253,0.2805151,0.0002772293,0.0001699975,0.0003690538,0.001568526,0.007825661,0.005738239],"genre_scores_gemma":[0.8780022,0.0007840763,0.1078084,0.0001148668,0.00002914656,0.0002045922,0.001944966,0.0005389742,0.01057289],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001244823,"threshold_uncertainty_score":0.004164338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009938021214321496,"score_gpt":0.2662095425051744,"score_spread":0.256271521290853,"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."}}