{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001192608,0.0003905193,0.0004001017,0.0001105081,0.00007158973,0.00003002866,0.0007021595,0.0002732677,0.02428241],"category_scores_gemma":[0.000714091,0.0003790116,0.0002238142,0.0001411707,0.0001199663,0.000004820818,0.0001747177,0.0001929214,0.001820017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005640144,"about_ca_system_score_gemma":0.00003838902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007126731,"about_ca_topic_score_gemma":0.000003990654,"domain_scores_codex":[0.996702,0.0004649106,0.000874763,0.0006522908,0.001017601,0.0002884291],"domain_scores_gemma":[0.9974478,0.0002557528,0.0006378699,0.000633365,0.0009204912,0.0001046681],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.008263113,0.003873878,0.006507398,0.00154555,0.002409737,0.000008835559,0.001695815,0.2024937,0.05839856,0.02297399,0.5721248,0.1197046],"study_design_scores_gemma":[0.01342208,0.006892988,0.01152397,0.001271396,0.0006929031,0.0001840328,0.0002388657,0.02993595,0.2193903,0.00155886,0.7131126,0.001776123],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8775653,0.0005818977,0.01101906,0.01327486,0.001500871,0.001757735,0.0002297994,0.00006524028,0.09400529],"genre_scores_gemma":[0.9830091,0.00004631023,0.01119785,0.001206318,0.0003168926,0.000146901,0.0003385007,0.00005626989,0.003681858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1725577,"threshold_uncertainty_score":0.9998662,"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."}}