{"id":"W3185119339","doi":"10.1093/plphys/kiab356","title":"<i>GLABRA2</i>-based selection efficiently enriches Cas9-generated nonchimeric mutants in the T1 generation","year":2021,"lang":"en","type":"article","venue":"PLANT PHYSIOLOGY","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Science Foundation of Shandong Province; China Agricultural University; Institute of Genetics; Taishan Scholar Foundation of Shandong Province; Shandong University","keywords":"Mutant; CRISPR; Arabidopsis; Cas9; Mutagenesis; Biology; Genome editing; Gene; Genetics; Mutation; Arabidopsis thaliana; Phenotype; Computational biology","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":[],"consensus_categories":[],"category_scores_codex":[0.0001125434,0.0001316845,0.0001246162,0.00003815264,0.00006946375,0.00001582037,0.0001059371,0.0001107079,0.00001857051],"category_scores_gemma":[0.00004565413,0.0001076809,0.00004511411,0.0002383093,0.00002734802,0.000001889995,0.00002511496,0.0001001177,0.000007678966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001076211,"about_ca_system_score_gemma":0.00008256845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002702821,"about_ca_topic_score_gemma":0.0002556145,"domain_scores_codex":[0.9990746,0.0001478787,0.0001588899,0.0003153396,0.00007570246,0.0002275549],"domain_scores_gemma":[0.9996695,0.00002576564,0.00003727109,0.0001933717,0.00004793438,0.00002615263],"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":[0.00002692755,0.00007203815,0.0003053656,0.000008441475,0.00001483148,0.000007890093,0.0000486223,0.03389109,0.9644369,0.0000150105,0.0008414668,0.0003313695],"study_design_scores_gemma":[0.0004103584,0.0001274564,0.01075675,0.000004276505,0.00001253227,0.00006052546,0.00004582686,0.02670998,0.9578617,0.000006738837,0.003849862,0.0001540043],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951613,0.0006528125,0.003593804,0.0001091308,0.000246962,0.0001033516,0.0000281691,0.00001155793,0.00009290096],"genre_scores_gemma":[0.9973722,0.00008265,0.0003321163,0.0005755796,0.0003438643,0.00002811187,0.001207204,0.0000119478,0.00004633517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01045138,"threshold_uncertainty_score":0.4391102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01099028483401901,"score_gpt":0.2596841557884738,"score_spread":0.2486938709544548,"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."}}