{"id":"W2103635361","doi":"10.1139/g10-082","title":"Design of a<i>Brassica rapa</i>core collection for association mapping studiesThis article is one of a selection of papers from the conference “Exploiting Genome-wide Association in Oilseed Brassicas: a model for genetic improvement of major OECD crops for sustainable farming”.","year":2010,"lang":"en","type":"article","venue":"Genome","topic":"Nitrogen and Sulfur Effects on Brassica","field":"Biochemistry, Genetics and Molecular Biology","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science and Technology Planning Project; Wageningen University and Research; Chinese Academy of Agricultural Sciences; Ministry of Science and Technology of the People's Republic of China; Chinese Academy of Sciences; Koninklijke Nederlandse Akademie van Wetenschappen","keywords":"Biology; Brassica rapa; Germplasm; Association mapping; Population; Allele; Genetic diversity; Selection (genetic algorithm); Genetics; Genetic association; Genome-wide association study; Genotyping; Brassica; Evolutionary biology; Gene; Botany; Genotype; Single-nucleotide polymorphism","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009475579,0.000157161,0.0003939527,0.00008389274,0.000134143,0.00001564535,0.0001484736,0.0002017456,0.000008563587],"category_scores_gemma":[0.0009880426,0.0001492164,0.0001671535,0.0001704687,0.00004290313,0.00001416267,0.00004608764,0.00008930897,9.277642e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001680498,"about_ca_system_score_gemma":0.0002222724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000900966,"about_ca_topic_score_gemma":0.0001655688,"domain_scores_codex":[0.9985155,0.00006066959,0.0006039221,0.0003028442,0.0001752409,0.0003418283],"domain_scores_gemma":[0.997474,0.0004889228,0.0009203353,0.0001833295,0.0008988259,0.0000346411],"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":[0.0004551878,0.0002025407,0.009027126,0.0002462247,0.0002770715,5.004007e-8,0.001076135,0.0008179364,0.9874526,0.00004000584,0.0000814173,0.0003237204],"study_design_scores_gemma":[0.002773639,0.001005331,0.01243846,0.00002325625,0.0001814136,1.384758e-7,0.001047039,0.02772658,0.9528118,0.001655275,0.0001594436,0.0001776513],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8949494,0.0001016332,0.1024742,0.0002943141,0.00003631851,0.002000957,0.0001198615,0.000005511592,0.00001782836],"genre_scores_gemma":[0.9868872,0.00003539899,0.01188219,0.0001099656,0.00007205965,0.0006269834,0.00006207378,0.00002623094,0.0002979555],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09193779,"threshold_uncertainty_score":0.6084867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01588361088497837,"score_gpt":0.2316858464055616,"score_spread":0.2158022355205833,"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."}}