{"id":"W2798697050","doi":"","title":"Effect of number of bulls on sire variance estimation","year":2002,"lang":"en","type":"article","venue":"Bulletin - International Bull Evaluation Service/Interbull bulletin","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sire; Estimation; Variance (accounting); Statistics; Variance components; Econometrics; Mathematics; Biology; Animal science; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.08672263,0.00117262,0.002092459,0.001332059,0.001042365,0.001852545,0.001769766,0.001603968,0.005785068],"category_scores_gemma":[0.204279,0.0009350507,0.001638772,0.001886542,0.0012723,0.00199276,0.001676311,0.001916597,0.001078315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00127807,"about_ca_system_score_gemma":0.0009393525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009116596,"about_ca_topic_score_gemma":0.01288231,"domain_scores_codex":[0.8735518,0.1046922,0.004132216,0.01082848,0.00500994,0.001785314],"domain_scores_gemma":[0.5654115,0.4027987,0.006441032,0.0161792,0.007617045,0.00155245],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.02477011,0.001751311,0.4948063,0.001262471,0.004930396,0.0009333842,0.004112189,0.05702718,0.0266372,0.005112093,0.008594365,0.3700629],"study_design_scores_gemma":[0.0004645527,0.00499954,0.8251438,0.0003241692,0.003443595,0.001127006,0.0009947058,0.1113077,0.03437854,0.003336281,0.01413574,0.0003444217],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7575175,0.003654756,0.2235195,0.0006175602,0.0005805382,0.0006578592,0.001627215,0.001886143,0.009938849],"genre_scores_gemma":[0.9030972,0.0003403773,0.08852077,0.0003810717,0.00005761549,0.0004191984,0.0009922407,0.0008331034,0.005358394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08672263,"threshold_uncertainty_score":0.4586386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01473125230509081,"score_gpt":0.2930083376490298,"score_spread":0.278277085343939,"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."}}