{"id":"W4313557129","doi":"10.1038/s41467-022-35675-7","title":"Improving cassava bacterial blight resistance by editing the epigenome","year":2023,"lang":"en","type":"article","venue":"Nature Communications","topic":"Plant Pathogenic Bacteria Studies","field":"Agricultural and Biological Sciences","cited_by":89,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Donald Danforth Plant Science Center; Bill and Melinda Gates Foundation; National Science Foundation","keywords":"Epigenome; DNA methylation; Biology; Epigenetics; Gene; Methylation; Genetics; Promoter; Effector; Gene expression; Activator (genetics); Epigenomics; Xanthomonas; Transcription (linguistics); Genome editing; Regulation of gene expression; Bacterial blight; Cell biology; Genome","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":[0.0001340506,0.0002977015,0.0001895173,0.0001631192,0.0001279657,0.0003082714,0.0002145422,0.000232853,0.00119372],"category_scores_gemma":[0.0001350691,0.0001532315,0.0001890102,0.0001140412,0.0001555097,0.0002213155,0.0003216907,0.0003922881,0.0002755504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002337334,"about_ca_system_score_gemma":0.0002125965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004042244,"about_ca_topic_score_gemma":0.001162039,"domain_scores_codex":[0.9999276,0.00001015541,0.000005962847,0.00002529452,0.00001550659,0.00001549138],"domain_scores_gemma":[0.9998873,0.00002497056,0.00003904718,0.00002146705,0.000009973449,0.00001713526],"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":[0.0000263448,0.000004660184,0.00007369799,0.00001546415,0.000002276362,0.00001483789,0.000009995563,0.00006430383,0.9984824,0.00008087791,0.000008507771,0.001216658],"study_design_scores_gemma":[0.00000756071,0.0001149504,0.001487907,0.000004472883,0.00001654485,0.0001257393,0.00001617085,0.0008806324,0.993049,0.00007848234,0.00421397,0.000004484676],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9686557,0.001377756,0.02549875,0.0001850907,0.00004594354,0.00006253466,0.000429719,0.0004396572,0.00330482],"genre_scores_gemma":[0.9841236,0.0009592922,0.01086601,0.00007295232,0.00001179336,0.00003521337,0.0004857501,0.00008026194,0.003365012],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00119372,"threshold_uncertainty_score":0.003993452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02389363262367267,"score_gpt":0.2438030972107474,"score_spread":0.2199094645870748,"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."}}