{"id":"W4200519472","doi":"10.1021/acsagscitech.1c00243","title":"Evaluation of Factors Affecting <i>In Planta</i> Gene Editing Efficiency in Wheat (<i>Triticum aestivum</i> L.)","year":2021,"lang":"en","type":"article","venue":"ACS Agricultural Science & Technology","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; Western Grains Research Foundation","keywords":"Biology; RNA editing; Genome editing; Guide RNA; Gene; Genetically modified crops; Biotechnology; Computational biology; CRISPR; Genetics; Transgene; Gene expression","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008408452,0.0001302715,0.000159531,0.0002099715,0.00007194456,0.00001280026,0.0002730103,0.0001577448,0.000002745281],"category_scores_gemma":[0.0008408332,0.0001031804,0.00003203597,0.001790331,0.0001811405,0.00001300592,0.0001866213,0.0001442332,7.766971e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008298912,"about_ca_system_score_gemma":0.0001468913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003402016,"about_ca_topic_score_gemma":0.0003500802,"domain_scores_codex":[0.9985145,0.00004086061,0.0002493232,0.0004273918,0.0003784907,0.0003894268],"domain_scores_gemma":[0.9993789,0.00001830185,0.00006602281,0.0001923821,0.0003070616,0.00003739993],"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":[0.000001153158,0.00003722701,0.02023455,0.000005996259,0.000002478579,0.000003518185,0.0000812735,0.006417821,0.9719951,0.00002322527,0.000006843293,0.001190869],"study_design_scores_gemma":[0.000319297,0.0000654313,0.1028022,0.00003561628,0.00001151671,0.00005571563,0.001441219,0.0002923173,0.8948043,0.00002938203,0.00002060549,0.0001224154],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976727,0.001152611,0.0003634556,0.0001318325,0.0001946875,0.0001657951,0.000003893516,0.00001825406,0.000296781],"genre_scores_gemma":[0.9995443,0.00004785009,0.0003090297,0.000009368393,0.00004651059,0.00001151739,0.00001884482,0.000004632513,0.000007944222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08256766,"threshold_uncertainty_score":0.4207574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009184281228489003,"score_gpt":0.2795696470317962,"score_spread":0.2703853658033072,"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."}}