{"id":"W3095381385","doi":"10.1111/pbi.13508","title":"Efficient multiplex genome editing by CRISPR/Cas9 in common wheat","year":2020,"lang":"en","type":"article","venue":"Plant Biotechnology Journal","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Agriculture","funders":"National Natural Science Foundation of China","keywords":"Biology; CRISPR; Multiplex; Genome editing; Cas9; Computational biology; Genome; Genetics; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001554683,0.0001684061,0.0002012651,0.00009140729,0.00008473195,0.00002329646,0.0002838999,0.0003597274,0.00001855081],"category_scores_gemma":[0.00007781939,0.0001634543,0.00006117991,0.0001253,0.00006064559,0.000001462958,0.0001365848,0.0005502035,0.00001170514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000207566,"about_ca_system_score_gemma":0.00002141612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008094154,"about_ca_topic_score_gemma":0.00001939691,"domain_scores_codex":[0.9989071,0.00002901122,0.0003063908,0.0002731394,0.0001056914,0.0003786709],"domain_scores_gemma":[0.9996139,0.00001037192,0.00007773354,0.000151621,0.00001883256,0.0001275199],"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":[0.00004086235,0.00003579469,0.001561119,0.00001159146,0.00002465681,0.00007139926,0.00007119904,0.005767736,0.9886585,0.00001257276,0.001999421,0.001745105],"study_design_scores_gemma":[0.001231859,0.0003929208,0.001108973,0.00002965584,0.0000161346,0.001039674,0.0003853221,0.01225548,0.8868628,0.00001325213,0.0963105,0.0003534276],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9713156,0.004601783,0.01936788,0.004193356,0.0002177318,0.0001123588,0.00007586948,0.00004108324,0.00007435431],"genre_scores_gemma":[0.9977314,0.0005890887,0.0008608784,0.0003776112,0.0003312705,0.000004051783,0.00006950072,0.00002045344,0.00001567409],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1017957,"threshold_uncertainty_score":0.6665472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00794379221917378,"score_gpt":0.2494875086640331,"score_spread":0.2415437164448593,"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."}}