{"id":"W3035599419","doi":"10.1016/j.xpro.2020.100053","title":"Protocol for Genome Editing to Produce Multiple Mutants in Wheat","year":2020,"lang":"en","type":"article","venue":"STAR Protocols","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Bio-oriented Technology Research Advancement Institution; Japan Society for the Promotion of Science; National Agriculture and Food Research Organization; Cabinet Office, Government of Japan; Swine Innovation Porc","keywords":"Genome editing; CRISPR; Mutant; Genome; Biology; Protocol (science); Genetics; Computational biology; Gene; Cas9; Transgene; Computer science; Medicine","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":[0.0001599457,0.0001559556,0.0001501236,0.00002959703,0.00003865832,0.00002553013,0.0001880372,0.00007529077,0.00001499864],"category_scores_gemma":[0.0003205536,0.0001550633,0.00005054501,0.0001203898,0.00001145566,0.000003397031,0.0001041605,0.00007229442,0.000009611488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001456832,"about_ca_system_score_gemma":0.00005985018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004066842,"about_ca_topic_score_gemma":0.00002979943,"domain_scores_codex":[0.9988766,0.00001969785,0.0002439256,0.0004379227,0.00009926603,0.0003226357],"domain_scores_gemma":[0.9995295,0.000007661848,0.00003693605,0.0002263403,0.00006015904,0.0001393867],"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":[0.0003821284,0.00004529356,0.001391853,0.0003574128,0.000008400115,0.000002346199,0.0002268198,0.001235813,0.9933212,0.000003563418,0.001098266,0.00192685],"study_design_scores_gemma":[0.001964888,0.000815994,0.001406994,0.00005988311,0.000001489283,0.000001487375,0.00005321261,0.0005537499,0.627252,0.00001082992,0.3676682,0.00021125],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.0123786,0.000002619452,0.01420121,0.0005306184,0.00001958031,0.9726443,0.00004402387,0.00002853159,0.0001504948],"genre_scores_gemma":[0.04081294,5.816859e-8,0.00872712,0.0003192838,0.0006631304,0.9493603,0.00001871028,0.00003550354,0.00006300455],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.36657,"threshold_uncertainty_score":0.6323297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03987248088292929,"score_gpt":0.3839148374957053,"score_spread":0.344042356612776,"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."}}