{"id":"W1605044531","doi":"","title":"GMACE variance estimation","year":2013,"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":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Dairy Commission","funders":"","keywords":"Statistics; Variance (accounting); Estimation; Covariance; Mathematics; Econometrics; Mace; Economics","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":[0.006049678,0.001614374,0.001410997,0.002757818,0.0007651049,0.002386453,0.002372749,0.001078153,0.02933841],"category_scores_gemma":[0.02889654,0.0007633116,0.002470798,0.002568242,0.0005474981,0.001500449,0.001896814,0.002145323,0.00890602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008372903,"about_ca_system_score_gemma":0.001254985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006299873,"about_ca_topic_score_gemma":0.007866574,"domain_scores_codex":[0.9961695,0.001158845,0.0002552466,0.001325169,0.0009070834,0.0001842539],"domain_scores_gemma":[0.9913622,0.003972513,0.0004897055,0.001889264,0.002209246,0.00007707977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003488789,0.0001868298,0.03881782,0.0009666786,0.001301261,0.0003814436,0.001005321,0.0923796,0.0126031,0.04338585,0.05000627,0.758617],"study_design_scores_gemma":[0.000132317,0.0002713917,0.07706897,0.0004392788,0.0005594555,0.0007075241,0.0006556524,0.5647213,0.03025821,0.0599934,0.2648726,0.0003199404],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01591709,0.0002847029,0.9660903,0.0001072226,0.0001621364,0.0003593653,0.006556287,0.004757067,0.005765837],"genre_scores_gemma":[0.1233246,0.0002720295,0.8362843,0.0001991712,0.00008996909,0.001383904,0.01948259,0.004105869,0.01485765],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02933841,"threshold_uncertainty_score":0.0981468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01554748184934687,"score_gpt":0.2719633528796789,"score_spread":0.256415871030332,"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."}}