{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006289887,0.001282939,0.001503414,0.002071184,0.0004629309,0.001357462,0.002955151,0.0007610542,0.0111434],"category_scores_gemma":[0.01169372,0.0007508687,0.002413325,0.001367181,0.0004697906,0.0009763667,0.002805156,0.001852902,0.00286964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007644155,"about_ca_system_score_gemma":0.001225855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004328318,"about_ca_topic_score_gemma":0.00416193,"domain_scores_codex":[0.9980114,0.0006310128,0.0001003195,0.0006983219,0.0004171157,0.0001419186],"domain_scores_gemma":[0.9972722,0.001305649,0.0002615614,0.0005825622,0.0005233146,0.00005466184],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003379449,0.0001040794,0.01597322,0.0009958938,0.001516463,0.0003354184,0.0003576999,0.1910316,0.0140142,0.04579085,0.01382809,0.7157145],"study_design_scores_gemma":[0.00008926873,0.0002845959,0.02317898,0.0002378475,0.0003999101,0.0006915988,0.0002255222,0.8304052,0.01774305,0.06454743,0.06202388,0.0001728207],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005486724,0.0002552273,0.9906583,0.00003485406,0.00002716638,0.0001071134,0.0006900331,0.001667208,0.001073389],"genre_scores_gemma":[0.0670979,0.0002613823,0.9223944,0.0001198835,0.00006366053,0.0005690258,0.004471745,0.001811706,0.003210192],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0111434,"threshold_uncertainty_score":0.03727835,"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."}}