{"id":"W2150505604","doi":"","title":"De-regressing MACE versus domestic EBV for genomics","year":2015,"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":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Dairy Commission","funders":"","keywords":"Mace; Trait; Biology; Regression; Animal science; Statistics; Mathematics; Internal medicine; Medicine; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.004718562,0.0006217204,0.0005273203,0.0006293728,0.0005068683,0.0009079198,0.0006546096,0.0002988478,0.002385703],"category_scores_gemma":[0.009880429,0.0001984837,0.0006466857,0.0007776513,0.0004299831,0.0004045195,0.0006121324,0.0006866821,0.0006087979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001413256,"about_ca_system_score_gemma":0.0009778995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04695107,"about_ca_topic_score_gemma":0.1559418,"domain_scores_codex":[0.9981653,0.0005865317,0.00008649462,0.000621028,0.0004239793,0.0001167289],"domain_scores_gemma":[0.9952816,0.002016364,0.0004566111,0.001191443,0.0009797197,0.00007429389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001332848,0.000200776,0.4455619,0.0004976891,0.001859806,0.0004214439,0.001705676,0.02390089,0.1688384,0.008507855,0.003732932,0.3434397],"study_design_scores_gemma":[0.00002581808,0.0003357115,0.868466,0.00008337645,0.0004485086,0.0005709397,0.0005108201,0.03597716,0.0607317,0.001326765,0.03140939,0.0001138565],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7869365,0.00148271,0.1960532,0.000117924,0.0001046132,0.0001268299,0.00619074,0.001140383,0.007847099],"genre_scores_gemma":[0.8792811,0.0003282212,0.1045327,0.0001009671,0.00001328927,0.0001443649,0.008215606,0.0005033725,0.006880358],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04695107,"threshold_uncertainty_score":0.09335554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0605493218713211,"score_gpt":0.3396672071486851,"score_spread":0.279117885277364,"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."}}