{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003085848,0.0004914302,0.0004714833,0.0003424239,0.0002287975,0.0004613424,0.0004963462,0.0004962065,0.0009683772],"category_scores_gemma":[0.000186522,0.0003204614,0.0003570937,0.0001814268,0.0002603559,0.0002799909,0.0005570496,0.001038771,0.0007914934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00038881,"about_ca_system_score_gemma":0.0002400661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003711264,"about_ca_topic_score_gemma":0.0007059473,"domain_scores_codex":[0.9997208,0.00003428912,0.00003354717,0.00008954098,0.00008090782,0.00004093387],"domain_scores_gemma":[0.9998235,0.0000319157,0.00004789091,0.00003931034,0.00001545646,0.00004194264],"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":[0.000007407781,0.000005950146,0.0000329899,0.00001540648,0.000002602663,0.00001840516,0.000006046516,0.00002814914,0.9990394,0.00008890741,0.00002341359,0.0007313599],"study_design_scores_gemma":[0.00001407095,0.0000660401,0.0009976947,0.000005189711,0.00002266427,0.0003480835,0.0000103094,0.001533563,0.9914863,0.00009553424,0.005406757,0.00001386125],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8206696,0.001603195,0.1679793,0.0003437096,0.0001851426,0.0002809757,0.001083621,0.002488236,0.005366235],"genre_scores_gemma":[0.9219791,0.001028795,0.06823519,0.0001412347,0.00002773541,0.0001720282,0.001746803,0.000316296,0.006352794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009683772,"threshold_uncertainty_score":0.003239512,"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."}}