{"id":"W2900586415","doi":"10.1186/s13059-018-1580-4","title":"Conferring DNA virus resistance with high specificity in plants using virus-inducible genome-editing system","year":2018,"lang":"en","type":"article","venue":"Genome biology","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Genetics","funders":"National Transgenic Science and Technology Program; Chinese Academy of Sciences; National Natural Science Foundation of China; National Key Research and Development Program of China; University of Minnesota","keywords":"Biology; Nicotiana benthamiana; CRISPR; Arabidopsis; Genome editing; Cas9; Genome; Transgene; Genetics; Virus; Computational biology; Genetically modified crops; Virology; Gene; Plant virus; DNA sequencing; Guide RNA; Deep sequencing","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":[0.0002602095,0.0002444854,0.0002944508,0.0001167542,0.0001247382,0.00002207798,0.0002464636,0.0002272366,0.00002730131],"category_scores_gemma":[0.0000180106,0.0002329463,0.00004057406,0.0001346788,0.0001455458,0.000004499313,0.000131406,0.0001296328,0.00001969609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008593229,"about_ca_system_score_gemma":0.00006529349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002387874,"about_ca_topic_score_gemma":0.001499764,"domain_scores_codex":[0.9983785,0.00006622884,0.0003225226,0.0006094208,0.00007746871,0.0005459171],"domain_scores_gemma":[0.9992923,0.0000111934,0.0001093166,0.0004267863,0.00006839717,0.00009206254],"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":[0.000124402,0.00001739634,0.001722553,0.00003963175,0.00003938717,0.00001658635,0.00009364196,0.0005087023,0.9972182,0.0001426427,0.000008151595,0.00006872211],"study_design_scores_gemma":[0.001049139,0.0004415789,0.02350136,0.0000866609,0.00002120344,0.00009021826,0.0004213074,0.0002124971,0.9463691,0.00002776111,0.02716503,0.0006141748],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9853988,0.001080953,0.0114681,0.00001216235,0.0003400898,0.0002029831,0.0001047298,0.00003269493,0.00135943],"genre_scores_gemma":[0.996089,0.00006800766,0.002305,0.00004570558,0.00123626,0.00001359589,0.0001114832,0.00003838013,0.00009255643],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05084911,"threshold_uncertainty_score":0.9499273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01736828481400573,"score_gpt":0.2824144237839961,"score_spread":0.2650461389699904,"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."}}