{"id":"W2308119888","doi":"10.1007/s13353-016-0344-7","title":"Copy number variations and genome-wide associations reveal putative genes and metabolic pathways involved with the feed conversion ratio in beef cattle","year":2016,"lang":"en","type":"article","venue":"Journal of Applied Genetics","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":68,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Biology; KEGG; Genome-wide association study; Copy-number variation; Genetics; Genome; Single-nucleotide polymorphism; Gene; Candidate gene; Computational biology; Genotype; Transcriptome","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":[0.0004958957,0.0003124537,0.0003345499,0.001355986,0.000262697,0.0005171978,0.0004702483,0.0004289178,0.002156137],"category_scores_gemma":[0.0008138241,0.0002808154,0.0005320464,0.001256685,0.0003381902,0.0001915462,0.0002835598,0.0004136279,0.0001488528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002331183,"about_ca_system_score_gemma":0.0001252509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002881602,"about_ca_topic_score_gemma":0.003061981,"domain_scores_codex":[0.9995922,0.00008697005,0.0000270789,0.0001610841,0.00006635017,0.00006627978],"domain_scores_gemma":[0.9992734,0.0003076481,0.0002636827,0.0000441036,0.0000343162,0.00007686107],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004755984,0.0001253792,0.7806519,0.00009893691,0.001909008,0.0007062777,0.0004441301,0.001196644,0.1946636,0.0003723155,0.0002067765,0.01486908],"study_design_scores_gemma":[0.00002102536,0.00007425551,0.9964235,0.000004029054,0.0001983791,0.0003244913,0.00007301692,0.001031681,0.001588076,0.0001310521,0.0001217868,0.000008557013],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991874,0.0002127619,0.0002082171,0.00002352663,0.000002845396,0.000001218869,0.0002600008,0.00000671828,0.00009729705],"genre_scores_gemma":[0.9993161,0.00005192349,0.0001672727,0.00001497789,0.000006217958,0.000002602352,0.0001952375,0.000005017905,0.0002406036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002881602,"threshold_uncertainty_score":0.007212996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009511569259741602,"score_gpt":0.2177855037923491,"score_spread":0.2082739345326075,"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."}}