{"id":"W2891365275","doi":"10.1111/pbi.13012","title":"Zinc finger nuclease‐mediated targeting of multiple transgenes to an endogenous soybean genomic locus via non‐homologous end joining","year":2018,"lang":"en","type":"article","venue":"Plant Biotechnology Journal","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Zinc finger nuclease; Genome editing; Biology; CRISPR; Genetics; Gene targeting; Non-homologous end joining; Cas9; Transgene; Homology directed repair; Zinc finger; Locus (genetics); Nuclease; Gene; Genome engineering; Transcription activator-like effector nuclease; Homologous recombination; Computational biology; DNA repair; Transcription factor; DNA mismatch repair","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":[0.0002249522,0.0003229121,0.0002679502,0.0002127654,0.0001404732,0.0002853655,0.0003263851,0.0003048236,0.001037445],"category_scores_gemma":[0.0001164965,0.000178486,0.0002810953,0.0001201224,0.0002359371,0.000200639,0.0003157239,0.0005836071,0.0003680334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004898912,"about_ca_system_score_gemma":0.0003751515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007229727,"about_ca_topic_score_gemma":0.001303311,"domain_scores_codex":[0.9998538,0.000008983599,0.00001651332,0.00005110903,0.00004780306,0.00002165445],"domain_scores_gemma":[0.9999059,0.00001489309,0.00003014403,0.00001563538,0.000007108827,0.00002624269],"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":[0.0000130818,0.000005051738,0.00008940256,0.00002354373,0.000002242514,0.00003622083,0.000007955151,0.0000522653,0.998957,0.00006937279,0.00001419589,0.00072952],"study_design_scores_gemma":[0.0000140495,0.0001188631,0.002250322,0.000006730489,0.00001484608,0.0005238301,0.00001660541,0.001287351,0.9915807,0.00007090305,0.004109908,0.000005891715],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9555064,0.001222777,0.03946357,0.0001447696,0.00007676017,0.0001279062,0.0006539908,0.0004609191,0.002342876],"genre_scores_gemma":[0.9633635,0.0006764466,0.02880722,0.00005382602,0.00001165885,0.00005512449,0.001002715,0.00006129065,0.005968094],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001037445,"threshold_uncertainty_score":0.003554404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01091743659083798,"score_gpt":0.240378640234974,"score_spread":0.2294612036441361,"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."}}