{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000297821,0.0006874222,0.0004648746,0.0003882225,0.0002395404,0.0004679992,0.0004459273,0.0003781012,0.001910611],"category_scores_gemma":[0.0002028384,0.0002222326,0.0004534565,0.0002550602,0.0002361554,0.0002383332,0.0006181641,0.0008845751,0.001228622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000328269,"about_ca_system_score_gemma":0.0002998876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001258716,"about_ca_topic_score_gemma":0.002545437,"domain_scores_codex":[0.9996772,0.00003610962,0.0000371269,0.00009347688,0.00009865107,0.00005744967],"domain_scores_gemma":[0.9997963,0.00003031426,0.00006290872,0.0000351102,0.00002690037,0.00004839976],"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":[0.000015722,0.000007004342,0.00008299467,0.0000167596,0.000002436305,0.00002829954,0.000008990956,0.00002223709,0.9988678,0.00004494466,0.00004703585,0.0008558079],"study_design_scores_gemma":[0.00001141515,0.00007737661,0.002988302,0.000005550725,0.00001513415,0.0003820947,0.00001986669,0.001291098,0.9900624,0.00003684108,0.005097247,0.00001254844],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9327353,0.0007389094,0.05733769,0.0001982245,0.00007649586,0.0002718573,0.001669286,0.001722469,0.005249809],"genre_scores_gemma":[0.9453669,0.0007119715,0.03570556,0.0002134447,0.00001547362,0.0001770929,0.004548219,0.0008834784,0.01237805],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001910611,"threshold_uncertainty_score":0.006391585,"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."}}