{"id":"W1586046891","doi":"","title":"GMACE without variance estimation","year":2014,"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":"Variance (accounting); Consistency (knowledge bases); Estimation; Biology; Computer science; Econometrics; Statistics; Mathematics; Business; Economics; Artificial intelligence","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":[0.009639036,0.002995963,0.002522676,0.002784858,0.001143128,0.003706596,0.003948961,0.002351042,0.08881512],"category_scores_gemma":[0.04480917,0.001639037,0.004340226,0.003389809,0.001043621,0.002881663,0.003692062,0.004516683,0.03519628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009718835,"about_ca_system_score_gemma":0.003471591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007968841,"about_ca_topic_score_gemma":0.01170615,"domain_scores_codex":[0.9946227,0.002421085,0.0003308314,0.001430802,0.0008496296,0.0003449811],"domain_scores_gemma":[0.9858584,0.008897636,0.0004608247,0.003047671,0.001573123,0.0001623635],"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":[0.0009059072,0.0003313628,0.009098272,0.00208937,0.00226743,0.0009061275,0.0006682156,0.08397263,0.005553484,0.1000322,0.1707355,0.6234395],"study_design_scores_gemma":[0.0003941038,0.0002667957,0.007010032,0.0004586958,0.0006106491,0.0006328995,0.0003853296,0.3722368,0.009662664,0.1669697,0.4411421,0.000230282],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003167052,0.0005149427,0.9580338,0.0003129627,0.0003864146,0.0002366297,0.008318489,0.02191032,0.007119464],"genre_scores_gemma":[0.04412318,0.0004909565,0.9062766,0.0006143708,0.0002285064,0.001067765,0.01654084,0.01576509,0.01489268],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.08881512,"threshold_uncertainty_score":0.2971162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01526372060673445,"score_gpt":0.2816007545946184,"score_spread":0.2663370339878839,"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."}}