{"id":"W3181953750","doi":"10.1016/j.molp.2021.07.010","title":"Highly efficient heritable genome editing in wheat using an RNA virus and bypassing tissue culture","year":2021,"lang":"en","type":"article","venue":"Molecular Plant","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":191,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute of Genetics","funders":"Youth Innovation Promotion Association of the Chinese Academy of Sciences; Chinese Universities Scientific Fund; Chinese Academy of Sciences; China Agricultural University; National Natural Science Foundation of China","keywords":"Biology; Genome editing; Cas9; Genome; Mutagenesis; Transformation (genetics); Transgene; Genetics; CRISPR; Virus; Brome mosaic virus; Mutant; Genetically modified crops; Gene; Computational biology; RNA; RNA-dependent RNA polymerase","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":[0.0004123386,0.0004987117,0.0003374616,0.0002799771,0.000226862,0.0006046434,0.0005167688,0.0004543462,0.000892921],"category_scores_gemma":[0.0002075617,0.0003436151,0.0004326705,0.0001685603,0.0003245491,0.0003945679,0.000571194,0.001136568,0.000566489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004175092,"about_ca_system_score_gemma":0.0002721572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001101078,"about_ca_topic_score_gemma":0.002147726,"domain_scores_codex":[0.9996417,0.00004923329,0.00004169248,0.0001107345,0.0001005974,0.00005607074],"domain_scores_gemma":[0.9998079,0.00005052149,0.00004986242,0.00004532744,0.00001708252,0.00002940823],"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":[0.00000586727,0.000003647556,0.00001892591,0.000008757168,0.000001479223,0.00001568618,0.000006684415,0.00002519835,0.9992837,0.0001355582,0.00001048437,0.0004841156],"study_design_scores_gemma":[0.000005950812,0.00005526051,0.0006932789,0.000003159142,0.00001097246,0.000128058,0.00001269123,0.0008059681,0.9957288,0.00007242746,0.002477639,0.000005805073],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8336929,0.001845788,0.1553686,0.0002521037,0.0002552127,0.0002853461,0.001068134,0.001136755,0.006095217],"genre_scores_gemma":[0.9532176,0.0007602267,0.03396974,0.00007968669,0.00002010156,0.00008775321,0.001109803,0.0002579338,0.01049715],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001101078,"threshold_uncertainty_score":0.003029287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007126271313292723,"score_gpt":0.2611605942296268,"score_spread":0.254034322916334,"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."}}