{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00153325,0.001815684,0.00140941,0.002246022,0.001791489,0.0008924344,0.001997747,0.001066537,0.03036061],"category_scores_gemma":[0.0009928255,0.001649462,0.001363943,0.001380622,0.0006145161,0.0006919631,0.001584353,0.0041761,0.02708479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006559636,"about_ca_system_score_gemma":0.001087909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009615729,"about_ca_topic_score_gemma":0.002683617,"domain_scores_codex":[0.9983822,0.0002997105,0.0002600069,0.0003613473,0.0005067678,0.0001899484],"domain_scores_gemma":[0.9992303,0.0001468085,0.00005228004,0.0003246688,0.0001498839,0.00009612774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002868477,0.0002740584,0.0002490658,0.001232053,0.00008908572,0.0007489718,0.0003149126,0.000616961,0.9289088,0.005308622,0.0289169,0.03305374],"study_design_scores_gemma":[0.0002390355,0.0005089386,0.002120485,0.0002439808,0.0001450457,0.002321576,0.00007762856,0.001924762,0.361681,0.002893629,0.6276478,0.0001961329],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"protocol","genre_scores_codex":[0.02004492,0.004237108,0.8842654,0.0006569287,0.001662457,0.01622451,0.03229488,0.01339139,0.02722242],"genre_scores_gemma":[0.05770572,0.00860651,0.678719,0.001297879,0.0001853701,0.0380984,0.119361,0.005291769,0.09073424],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.03036061,"threshold_uncertainty_score":0.1015664,"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."}}