{"id":"W2181198270","doi":"10.3390/genes6041215","title":"Identification of Candidate Genes for Seed Glucosinolate Content Using Association Mapping in Brassica napus L.","year":2015,"lang":"en","type":"article","venue":"Genes","topic":"Genomics, phytochemicals, and oxidative stress","field":"Biochemistry, Genetics and Molecular Biology","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"China Scholarship Council; Earmarked Fund for Modern Agro-industry Technology Research System; National Natural Science Foundation of China; National Science Foundation","keywords":"Brassica; Glucosinolate; Rapeseed; Biology; Gene; Single-nucleotide polymorphism; Genetics; Candidate gene; Botany; Genotype","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002308353,0.000290906,0.0002388262,0.001064599,0.0002742433,0.0002434454,0.0002004904,0.0001891131,0.001142183],"category_scores_gemma":[0.0002439517,0.0001531792,0.0004274476,0.0007671004,0.0001432913,0.00006948612,0.0001780488,0.0002204749,0.0002801357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002311785,"about_ca_system_score_gemma":0.0002506449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006722413,"about_ca_topic_score_gemma":0.01013005,"domain_scores_codex":[0.9998617,0.00001711837,0.000008607019,0.00007143909,0.00002428051,0.00001684919],"domain_scores_gemma":[0.9998393,0.00005665389,0.00004585099,0.000008896312,0.00001836606,0.0000309162],"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":[0.0006178428,0.0001078588,0.109003,0.0001433418,0.0001780183,0.001124505,0.0003496369,0.000415588,0.8694086,0.0002270285,0.0002536534,0.01817097],"study_design_scores_gemma":[0.00007260406,0.0001537871,0.9756474,0.00001657856,0.0002072665,0.001136018,0.0001982311,0.002960958,0.01703594,0.0001417697,0.002410044,0.00001940187],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970614,0.0003072334,0.001542161,0.00004188257,0.000004209671,0.00001142297,0.0006343939,0.00003921628,0.0003581104],"genre_scores_gemma":[0.9911012,0.0003164828,0.005336712,0.00005022435,0.000007267093,0.00003379362,0.001875097,0.00002082126,0.001258373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006722413,"threshold_uncertainty_score":0.01336658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05291270046642199,"score_gpt":0.2785204659767518,"score_spread":0.2256077655103298,"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."}}