{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005978731,0.0007687419,0.0007987216,0.0004438104,0.0003031782,0.0009318361,0.0006372957,0.0006159522,0.001030761],"category_scores_gemma":[0.0003434177,0.0005935449,0.0007023049,0.0003806554,0.0003949344,0.000626298,0.0009583648,0.001085314,0.0007589466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005648857,"about_ca_system_score_gemma":0.0003191902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00089601,"about_ca_topic_score_gemma":0.001589256,"domain_scores_codex":[0.9990925,0.00005713378,0.0001259077,0.0003744994,0.0002465312,0.000103475],"domain_scores_gemma":[0.999796,0.00002564254,0.00006897837,0.00004320555,0.00001931317,0.00004691511],"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":[0.0000601421,0.00003066829,0.0001844637,0.00006862989,0.00001215433,0.00008884358,0.0000281646,0.00039167,0.9943067,0.0003154215,0.0001009656,0.004412049],"study_design_scores_gemma":[0.00004712723,0.0003153936,0.001616725,0.00001254123,0.00005279806,0.0004584899,0.00002986498,0.009053097,0.9804303,0.0002234435,0.007718306,0.00004191246],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.789184,0.001762337,0.1994765,0.0001596488,0.0002084458,0.0007030283,0.001512326,0.002237659,0.004755992],"genre_scores_gemma":[0.8863504,0.0007438183,0.1054998,0.0001047656,0.00001605445,0.0002649148,0.001342025,0.0001552109,0.005523049],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001030761,"threshold_uncertainty_score":0.004098594,"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."}}