{"id":"W4382934692","doi":"10.20944/preprints202306.2128.v1","title":"Diversity of Transgene Integration and Gene Editing Events in Wheat (T<em>riticum aestivum</em> L.) Transgenic Plants Generated Using Agrobacterium-Mediated Transformation","year":2023,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; Saskatchewan Wheat Development Commission; Alberta Wheat Commission; Western Grains Research Foundation","keywords":"Biology; Transgene; Transformation (genetics); Population; Genome editing; Gene; Genetics; Epigenetics; CRISPR; Genetically modified crops; Genetic diversity; Cas9","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004844679,0.0003155996,0.0003828939,0.0009926939,0.0002093421,0.0005442862,0.0002244146,0.0003475131,0.0009615729],"category_scores_gemma":[0.0004532436,0.000270216,0.0004289923,0.0005789845,0.0002054429,0.0002103764,0.0005426353,0.000561994,0.000619121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001943532,"about_ca_system_score_gemma":0.0001010749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003124382,"about_ca_topic_score_gemma":0.000501363,"domain_scores_codex":[0.9995049,0.00006253202,0.0000939109,0.0001751698,0.00009185749,0.00007165107],"domain_scores_gemma":[0.9997125,0.00006324486,0.00006344313,0.00006248723,0.00003938428,0.00005902703],"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":[0.00005892018,0.00001403489,0.001303678,0.00003250355,0.00002048176,0.00006970816,0.00004419366,0.0001005971,0.99402,0.00008093772,0.00004027487,0.004214677],"study_design_scores_gemma":[0.00005116579,0.0007018239,0.1232626,0.00004621571,0.0003442089,0.004177672,0.0002026188,0.003530665,0.8533723,0.0005387895,0.01369358,0.00007836601],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9726954,0.0008952125,0.02032267,0.00005321113,0.00002406708,0.00009998347,0.002471644,0.0005888124,0.002848888],"genre_scores_gemma":[0.9777862,0.0006324266,0.0128343,0.00007589536,0.00001012001,0.00009482162,0.005419444,0.0002225551,0.002924144],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009926939,"threshold_uncertainty_score":0.003216803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05228334656254856,"score_gpt":0.3072775907460669,"score_spread":0.2549942441835183,"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."}}