{"id":"W1603707930","doi":"","title":"Robust GMACE for young bulls - methodology","year":2012,"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":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Dairy Commission","funders":"","keywords":"Statistics; Mathematics; Range (aeronautics); Mace; Variance (accounting); Best linear unbiased prediction; Econometrics; Selection (genetic algorithm); Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003233697,0.0005392361,0.0004101187,0.0001606594,0.000229661,0.0000980566,0.0009987713,0.0004552075,0.01307016],"category_scores_gemma":[0.001180742,0.0005639436,0.0003167781,0.0001231299,0.0001146827,0.00000977922,0.0003945226,0.0002672224,0.001763916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001265005,"about_ca_system_score_gemma":0.0001314999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001277359,"about_ca_topic_score_gemma":0.00004008849,"domain_scores_codex":[0.9959607,0.0005937056,0.0008735108,0.0009234478,0.0008186613,0.000829957],"domain_scores_gemma":[0.9967756,0.0003028967,0.0004593151,0.000702414,0.001456694,0.0003030349],"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":[0.001956763,0.001012803,0.003145696,0.0001556912,0.001024253,0.000001100779,0.001192816,0.01618346,0.02288325,0.01509236,0.9295823,0.007769486],"study_design_scores_gemma":[0.002470699,0.000362406,0.005852741,0.00005241586,0.0002068995,0.0001189245,0.0005432698,0.0006054746,0.007051986,0.0006436273,0.981438,0.000653573],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1809987,0.005995673,0.6199048,0.09273457,0.0137753,0.006021215,0.0007185774,0.0003202022,0.07953091],"genre_scores_gemma":[0.5933512,0.0001093791,0.3626322,0.01588711,0.005462064,0.001584318,0.002633431,0.0002172321,0.01812297],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4123525,"threshold_uncertainty_score":0.9996812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1069132117029862,"score_gpt":0.338946676945169,"score_spread":0.2320334652421828,"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."}}