{"id":"W2102213370","doi":"10.1017/s1751731114003103","title":"Genetic relationship among reproductive traits in Nellore cattle","year":2014,"lang":"en","type":"article","venue":"animal","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Biology; Longevity; Heritability; Herd; Selection (genetic algorithm); Trait; Best linear unbiased prediction; Genetic correlation; Reproduction; Animal science; Dairy cattle; Fertility; Genetic variation; Demography; Genetics; Population","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":[0.0009189777,0.0001756362,0.0001667782,0.0006404781,0.0002866294,0.0002858426,0.0001783709,0.000202784,0.0006932004],"category_scores_gemma":[0.001102393,0.0001235085,0.0001808373,0.0004634331,0.0003197573,0.0001316666,0.0001942237,0.0002119353,0.00006970951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004237627,"about_ca_system_score_gemma":0.0002148679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005798633,"about_ca_topic_score_gemma":0.01481123,"domain_scores_codex":[0.9996363,0.0001287791,0.00001630785,0.0001215784,0.00005285365,0.00004412821],"domain_scores_gemma":[0.999089,0.0004570872,0.0002721379,0.00004245419,0.00005863155,0.00008076274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002243995,0.00009109497,0.9717665,0.00001971552,0.0001774562,0.0002762563,0.0004939361,0.0004357055,0.01855078,0.0001303414,0.00005482385,0.007779066],"study_design_scores_gemma":[0.000002123047,0.00004941685,0.9990395,0.000003585173,0.00001776392,0.00008933459,0.00004107994,0.0005024566,0.0001599711,0.00002001038,0.00007211995,0.000002614587],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995321,0.00004745298,0.000219062,0.000004782878,6.226717e-7,0.000001236435,0.00002924338,0.00000148706,0.0001640875],"genre_scores_gemma":[0.9993043,0.000024766,0.0003756196,0.000005644978,0.000001494121,0.000003234742,0.00008719909,0.000001654709,0.0001960467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005798633,"threshold_uncertainty_score":0.01152974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01270100660092467,"score_gpt":0.2318546221119408,"score_spread":0.2191536155110161,"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."}}