{"id":"W3107017081","doi":"10.3389/fgeed.2020.605768","title":"Precision Genome Engineering Through Cytidine Base Editing in Rapeseed (Brassica napus. L)","year":2020,"lang":"en","type":"article","venue":"Frontiers in Genome Editing","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Key Research and Development Program of China; Institute of Genetics; National Natural Science Foundation of China","keywords":"Rapeseed; Genome editing; Biology; Cytidine; Genetics; Gene; Allele; Genome; Base (topology); Computational biology; Biotechnology; Agronomy; Mathematics; Biochemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002537605,0.0003706944,0.0002337811,0.0002300307,0.0001569523,0.0002909781,0.0002917511,0.0002332395,0.0006050994],"category_scores_gemma":[0.0001628764,0.000171302,0.0003468033,0.0001728724,0.0001707918,0.0001667327,0.0002523178,0.0004514535,0.0002484321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003331733,"about_ca_system_score_gemma":0.0001945453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001909656,"about_ca_topic_score_gemma":0.003005356,"domain_scores_codex":[0.9998209,0.00002708664,0.0000172295,0.00005018878,0.00006437456,0.00002026532],"domain_scores_gemma":[0.999874,0.0000211632,0.00005578611,0.00001740449,0.0000154668,0.000016101],"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":[0.00001736417,0.000003589904,0.00004892418,0.00002147193,0.00000365971,0.00002557206,0.00000961977,0.00006083855,0.9986647,0.00006541106,0.0000092775,0.001069466],"study_design_scores_gemma":[0.0000127778,0.0001539753,0.002240005,0.000009562888,0.00003200198,0.0003245886,0.00002160753,0.001525871,0.9905392,0.00007035772,0.005058462,0.00001155314],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9657037,0.001744229,0.02813095,0.0001242552,0.00004428482,0.0001152597,0.0007211444,0.000359232,0.003057023],"genre_scores_gemma":[0.9679686,0.001171356,0.02563854,0.00005979564,0.000007074218,0.00006206937,0.0007969641,0.0001039689,0.00419165],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001909656,"threshold_uncertainty_score":0.003797114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007419257740380537,"score_gpt":0.2385166313255476,"score_spread":0.231097373585167,"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."}}