{"id":"W2009160581","doi":"10.1371/journal.pgen.1003378","title":"Association Mapping and the Genomic Consequences of Selection in Sunflower","year":2013,"lang":"en","type":"article","venue":"PLoS Genetics","topic":"Sunflower and Safflower Cultivation","field":"Agricultural and Biological Sciences","cited_by":142,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Genome Canada; National Institute of Food and Agriculture; Genome British Columbia; Georgia Research Alliance; Emory University; U.S. Department of Agriculture; U.S. Department of Energy; National Science Foundation","keywords":"Biology; Association mapping; Linkage disequilibrium; Genetics; Quantitative trait locus; Selective sweep; Germplasm; Population; Evolutionary biology; Locus (genetics); Helianthus annuus; Genetic diversity; Genome-wide association study; Allele; Sunflower; Genotype; Haplotype; Single-nucleotide polymorphism; Gene; Botany; Agronomy","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":[0.0007920265,0.0001647496,0.000155539,0.0008186354,0.0003121313,0.0002554695,0.0001888124,0.0001854242,0.0005399892],"category_scores_gemma":[0.0007546509,0.0001042548,0.0002272409,0.0008085349,0.0003102086,0.000143587,0.0002685381,0.0002464489,0.00005119239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002210989,"about_ca_system_score_gemma":0.000181874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001450214,"about_ca_topic_score_gemma":0.003057458,"domain_scores_codex":[0.9996833,0.00008562738,0.00001849145,0.000132361,0.00004584134,0.0000344623],"domain_scores_gemma":[0.9995085,0.0002318397,0.0001579892,0.00003423362,0.00001606848,0.00005135185],"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":[0.00110102,0.0001156878,0.2863583,0.0001290173,0.0003971506,0.001614478,0.0007683591,0.00381611,0.6460494,0.001754131,0.0001158442,0.05778058],"study_design_scores_gemma":[0.00004084306,0.0001875421,0.9810095,0.00001037038,0.0001411073,0.0006999957,0.0001256284,0.003964432,0.01173382,0.0009975733,0.001070336,0.00001897541],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998351,0.000208645,0.001233392,0.00001196461,0.000001791239,0.000002168789,0.00004641416,0.000009840193,0.0001347662],"genre_scores_gemma":[0.9982235,0.0001015919,0.00140568,0.00001037443,0.000005395824,0.000003499449,0.0001170623,0.000004846334,0.0001282125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001450214,"threshold_uncertainty_score":0.004188716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01956445274656378,"score_gpt":0.190224482788206,"score_spread":0.1706600300416422,"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."}}