{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002885369,0.0002107485,0.000219332,0.0002650549,0.0001009376,0.00004254122,0.0003850793,0.0002991211,0.00001511238],"category_scores_gemma":[0.00005189719,0.0002006006,0.00003149551,0.0003552998,0.00002702943,0.00001212694,0.00008586297,0.0004939704,0.000005253699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002709809,"about_ca_system_score_gemma":0.0007673563,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1010737,"about_ca_topic_score_gemma":0.6098368,"domain_scores_codex":[0.9985539,0.00005875335,0.0003517149,0.0003630258,0.0001362201,0.0005363283],"domain_scores_gemma":[0.9993655,0.000009013691,0.00006813701,0.0003147268,0.00004576465,0.0001968231],"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":[0.00003699051,0.00001674054,0.001310532,0.000008523818,0.00002630621,0.0002740424,0.00005881193,0.0126351,0.9747846,0.00006877147,0.0003133459,0.01046626],"study_design_scores_gemma":[0.0006907117,0.0008577439,0.02198252,0.0001279457,0.00001614865,0.001329608,0.002233032,0.009491966,0.9526935,0.00009911109,0.009865632,0.0006120554],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952927,0.0002751338,0.003099622,0.0006486211,0.0004219426,0.0001133973,0.00008514861,0.00005540355,0.000008029968],"genre_scores_gemma":[0.9979244,0.0006634881,0.0007247464,0.0001711518,0.0001628705,0.000009151666,0.0002931142,0.00002712831,0.00002393837],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5087631,"threshold_uncertainty_score":0.9049123,"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."}}