{"id":"W2110066536","doi":"10.3389/fpls.2013.00055","title":"Homoeologous GSL-ELONG gene replacement for manipulation of aliphatic glucosinolates in Brassica rapa L. by marker assisted selection","year":2013,"lang":"en","type":"article","venue":"Frontiers in Plant Science","topic":"Genomics, phytochemicals, and oxidative stress","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Genome Prairie; Genome Alberta; Genome Canada","keywords":"Backcrossing; Brassica rapa; Biology; Glucosinolate; Introgression; Genetics; Marker-assisted selection; Locus (genetics); Gene; Allele; Doubled haploidy; Genome; Brassica oleracea; Brassica; Genetic marker; Ploidy; Botany","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":[0.0002943489,0.0004618662,0.0002558856,0.0004409491,0.0001883947,0.000259663,0.0004183268,0.0003297995,0.001367313],"category_scores_gemma":[0.0001094202,0.0003054992,0.0003800095,0.0003057503,0.0002109134,0.0001288499,0.000374667,0.0005570236,0.0007903497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003363747,"about_ca_system_score_gemma":0.0002153706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001191036,"about_ca_topic_score_gemma":0.002060727,"domain_scores_codex":[0.9997461,0.00005109232,0.00003779861,0.0000632891,0.00006554093,0.00003619093],"domain_scores_gemma":[0.9997893,0.00003373222,0.00007811742,0.00003877696,0.00001785194,0.00004226012],"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":[0.00002863362,0.00001449694,0.0000724205,0.00001667956,0.000003777135,0.00004527018,0.00001880003,0.00002531008,0.998861,0.00005259095,0.00001574333,0.0008454167],"study_design_scores_gemma":[0.00006310891,0.0003325085,0.008435075,0.00001915358,0.00006126341,0.0007689124,0.0001076394,0.001552672,0.9750677,0.00007673286,0.01349409,0.00002108595],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9836721,0.001138158,0.01020214,0.0001477665,0.00004832113,0.0001744321,0.001151935,0.0004479133,0.003017234],"genre_scores_gemma":[0.9648936,0.001115381,0.0143764,0.0001384357,0.00001596268,0.0001981847,0.002974544,0.0002478485,0.01603959],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001367313,"threshold_uncertainty_score":0.00457406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007640241157602843,"score_gpt":0.2244173805122952,"score_spread":0.2167771393546924,"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."}}