{"id":"W1570450173","doi":"","title":"Use of MACE Results as Input for Genomic Models","year":2011,"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":"","funders":"","keywords":"Mace; SNP; Computer science; Statistics; Biology; Genotype; Mathematics; Genetics; Medicine; Single-nucleotide polymorphism; Gene; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01343858,0.001153353,0.0009100895,0.002744831,0.0005244004,0.003601825,0.001408092,0.0007718186,0.01550273],"category_scores_gemma":[0.08144099,0.0007320396,0.001312538,0.001556818,0.0005223746,0.002626316,0.002186312,0.001657285,0.004725152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001303507,"about_ca_system_score_gemma":0.00110027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003378428,"about_ca_topic_score_gemma":0.002331228,"domain_scores_codex":[0.9944738,0.00303952,0.000386163,0.0008108808,0.001157828,0.0001318313],"domain_scores_gemma":[0.9462743,0.03468172,0.002195248,0.008550726,0.007979172,0.0003188195],"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":[0.001307367,0.000256568,0.04441563,0.0007959331,0.0006334105,0.001022923,0.001660622,0.3704171,0.0060526,0.09285901,0.06206888,0.41851],"study_design_scores_gemma":[0.0001084058,0.0001849108,0.01132626,0.0002185534,0.0001283545,0.0003031157,0.0003630042,0.848291,0.009832752,0.05854293,0.07055684,0.0001438265],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03158596,0.0002081518,0.9263241,0.0009736827,0.0002300265,0.0001930625,0.007931562,0.01843115,0.01412217],"genre_scores_gemma":[0.3758127,0.0003402829,0.5998054,0.0002885925,0.0001322871,0.0004860731,0.01308252,0.004295257,0.005756915],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01550273,"threshold_uncertainty_score":0.07107085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1017321507210352,"score_gpt":0.2972714863572102,"score_spread":0.195539335636175,"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."}}