{"id":"W3030210125","doi":"10.1038/s41598-020-65565-1","title":"Uncovering Sub-Structure and Genomic Profiles in Across-Countries Subpopulations of Angus Cattle","year":2020,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of Alberta; University of Guelph","funders":"Agriculture and Agri-Food Canada; Beef Cattle Research Council; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Computational biology; Biology; Genomic selection; Genomics; Genome; Evolutionary biology; Genetics; Gene; Genotype; Single-nucleotide polymorphism","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0002705932,0.0001169236,0.0002585117,0.001258796,0.0004595619,0.0005697916,0.0001758643,0.000142225,0.001072745],"category_scores_gemma":[0.0003938405,0.0001059071,0.0002113527,0.0009957445,0.0003186047,0.0001207357,0.0003610184,0.0001991415,0.0001190638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001991142,"about_ca_system_score_gemma":0.0002238377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009235412,"about_ca_topic_score_gemma":0.01938967,"domain_scores_codex":[0.999782,0.00003961171,0.00001382937,0.00009586242,0.00002594856,0.00004274389],"domain_scores_gemma":[0.9996517,0.00007442749,0.0001086251,0.00004344995,0.00005878453,0.00006303592],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004325621,0.00004871496,0.8765826,0.00006070496,0.000272386,0.0002342212,0.002376328,0.0001919671,0.1055168,0.0003364716,0.0001057974,0.01384146],"study_design_scores_gemma":[0.000002430412,0.00002514381,0.9984435,0.000004488916,0.00002687366,0.0001102621,0.0003038471,0.0001866409,0.0005222404,0.00006019417,0.0003119869,0.000002400148],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999305,0.00009261054,0.0002276619,0.000004974136,0.000001040182,0.000002817775,0.0001200435,0.000002435773,0.0002434025],"genre_scores_gemma":[0.9991162,0.00005557514,0.0002893402,0.000008969485,0.000002290673,0.00000526282,0.0003066063,0.000003599612,0.0002121579],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009235412,"threshold_uncertainty_score":0.0183633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009166468229922859,"score_gpt":0.2416001288877794,"score_spread":0.2324336606578566,"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."}}