{"id":"W4389334714","doi":"10.1111/pbi.14232","title":"An integrated strategy involving high‐throughput sequencing to characterize an unknown GM wheat event in Canada","year":2023,"lang":"en","type":"article","venue":"Plant Biotechnology Journal","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Food Inspection Agency","funders":"Canadian Food Inspection Agency","keywords":"Biology; Sanger sequencing; Genome; Computational biology; Genetics; Transformation (genetics); Gene; Common wheat; DNA sequencing; Chromosome","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0003091284,0.0005358035,0.0004339224,0.0009009282,0.000960648,0.0007239453,0.0004896111,0.0003859155,0.0009513801],"category_scores_gemma":[0.0003389032,0.0002678107,0.0004762886,0.001526631,0.0002808722,0.000204099,0.0006874674,0.0006306542,0.0004441364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003991613,"about_ca_system_score_gemma":0.006772618,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4036958,"about_ca_topic_score_gemma":0.6718503,"domain_scores_codex":[0.9994885,0.00001531995,0.00001646651,0.0001268005,0.0002344772,0.0001184857],"domain_scores_gemma":[0.9996965,0.00001982394,0.00004464459,0.00002433589,0.000158119,0.00005657686],"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":[0.0001968956,0.00007256314,0.008368308,0.0001039162,0.00003661856,0.0004106519,0.0003027002,0.00103217,0.9635847,0.0008321171,0.0008654506,0.02419386],"study_design_scores_gemma":[0.000123817,0.0008078726,0.3042299,0.00007158996,0.000374297,0.001782598,0.001751779,0.02903863,0.5646461,0.001229014,0.09578743,0.0001570149],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8888181,0.0007085035,0.08017169,0.0004232154,0.00007437508,0.0009966891,0.01076047,0.001059173,0.01698774],"genre_scores_gemma":[0.8039531,0.001546608,0.1366419,0.0006774615,0.00002020402,0.0004706928,0.02659554,0.0003767482,0.02971778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5963042,"threshold_uncertainty_score":0.8026921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01376086287761716,"score_gpt":0.263132248080454,"score_spread":0.2493713852028368,"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."}}