{"id":"W2240832274","doi":"10.1139/g10-078","title":"Whole-genome association mapping in elite inbred crop varietiesThis 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":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Biotechnology and Biological Sciences Research Council","keywords":"Biology; Synteny; Germplasm; Genetics; Genome; Single-nucleotide polymorphism; Linkage disequilibrium; Association mapping; Hordeum vulgare; Population; Reference genome; Genetic diversity; Genome-wide association study; Gene mapping; Genetic association; Evolutionary biology; Gene; Chromosome; Genotype; Botany","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008360413,0.00023165,0.0003096918,0.0007302629,0.0002801987,0.0003111923,0.0002995672,0.0001748398,0.001404372],"category_scores_gemma":[0.0005806205,0.0001430541,0.0003872725,0.0009387165,0.0001472691,0.0001283863,0.0005051437,0.0003454532,0.0002876011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000176232,"about_ca_system_score_gemma":0.0001909316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000914297,"about_ca_topic_score_gemma":0.003680954,"domain_scores_codex":[0.9997341,0.00005021266,0.00002109922,0.0001178976,0.00004433475,0.00003233679],"domain_scores_gemma":[0.9995771,0.0001670007,0.00007578678,0.00008598159,0.00003567903,0.0000585435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0005215749,0.0001526588,0.03279994,0.0000925656,0.0004633858,0.0002684392,0.0003639662,0.0008595585,0.9314316,0.001120813,0.0003809068,0.03154466],"study_design_scores_gemma":[0.0002191971,0.0006412572,0.9078173,0.00001953526,0.000477477,0.000740362,0.0001585494,0.005509058,0.07251388,0.001164835,0.01069221,0.00004635473],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988031,0.0002067087,0.009661299,0.00001713132,0.000007981718,0.00003253727,0.0013799,0.00006478515,0.000598676],"genre_scores_gemma":[0.9613432,0.000391371,0.02260398,0.00006393393,0.00001488601,0.000100603,0.01293221,0.0001121827,0.002437526],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001404372,"threshold_uncertainty_score":0.004698098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01182807442976388,"score_gpt":0.2098842860820384,"score_spread":0.1980562116522745,"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."}}