{"id":"W2114849840","doi":"10.1186/1471-2156-12-80","title":"Accuracy of genomic selection in simulated populations mimicking the extent of linkage disequilibrium in beef cattle","year":2011,"lang":"en","type":"article","venue":"BMC Genetics","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"L'Alliance Boviteq; University of Guelph","funders":"Division of Graduate Education","keywords":"Linkage disequilibrium; Heritability; Biology; Quantitative trait locus; Trait; Genomic selection; Selection (genetic algorithm); Beef cattle; Genetics; Population; Best linear unbiased prediction; Linkage (software); Animal science; Haplotype; Allele; Genotype; Single-nucleotide polymorphism; Gene","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":[0.002893792,0.0002647038,0.000307972,0.0002436472,0.0002149064,0.0004280258,0.0004684805,0.0003869931,0.0003233089],"category_scores_gemma":[0.007305485,0.0001684625,0.0002974558,0.0002424205,0.0003564091,0.0002808497,0.0003060283,0.0002845201,0.00004644383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006629798,"about_ca_system_score_gemma":0.0002924811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006180837,"about_ca_topic_score_gemma":0.004784425,"domain_scores_codex":[0.99925,0.0004695955,0.00002736047,0.0001471752,0.00005829417,0.00004753033],"domain_scores_gemma":[0.9947847,0.004135909,0.0003675401,0.0003515103,0.0002853642,0.00007513139],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009699689,0.0001458014,0.2179467,0.00006996182,0.0004036474,0.0001468168,0.0003654606,0.7395463,0.01095583,0.0004679312,0.0001137797,0.02886776],"study_design_scores_gemma":[0.00008513156,0.000479302,0.1666027,0.00001866877,0.0001367451,0.0001419224,0.0001482046,0.8249897,0.006376181,0.0008120463,0.0001807366,0.0000285966],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953812,0.00003319973,0.004418976,0.00001125491,0.000001495508,0.000002429543,0.00003458194,0.00002629859,0.00009036707],"genre_scores_gemma":[0.9978474,0.000009168203,0.002000457,0.000005066896,8.847908e-7,0.000004392593,0.00009210606,0.000002453069,0.00003810559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006180837,"threshold_uncertainty_score":0.01530403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04605851768748976,"score_gpt":0.2774430734689492,"score_spread":0.2313845557814594,"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."}}