{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003177338,0.0002944289,0.000342428,0.000134538,0.00005658612,0.00003998211,0.000321599,0.0001973572,0.00002036648],"category_scores_gemma":[0.0004996008,0.0003455512,0.0001011026,0.0004137077,0.00002961231,0.00002005954,0.0002234915,0.0003541385,0.000005351626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007570973,"about_ca_system_score_gemma":0.00004117027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008767136,"about_ca_topic_score_gemma":0.000006745569,"domain_scores_codex":[0.9980314,0.00003858419,0.0005059015,0.0006172008,0.000209441,0.0005974755],"domain_scores_gemma":[0.9994383,0.0000235856,0.0000947534,0.0002583974,0.00003748352,0.0001474942],"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":[0.0000506132,0.0000345089,0.006480112,0.0001290924,0.00003896921,0.00005348294,0.001134461,0.1199185,0.8690499,0.000007775518,0.001463595,0.001638991],"study_design_scores_gemma":[0.007795032,0.0009369625,0.03279316,0.0005182249,0.00008523262,0.00005556087,0.006807742,0.1802519,0.4814272,0.0001292358,0.285977,0.00322275],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6369325,0.006031727,0.352501,0.0006213695,0.002529003,0.0004922815,0.00004184617,0.00008239774,0.000767878],"genre_scores_gemma":[0.9543794,0.0001848002,0.0406457,0.0002219978,0.004257955,0.00003785975,0.0001641672,0.00007245308,0.00003567739],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3876227,"threshold_uncertainty_score":0.9998996,"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."}}