{"id":"W2513484747","doi":"","title":"Genome Wide Imputation in Canadian Beef Cattle","year":2014,"lang":"en","type":"article","venue":"10th World Congress on Genetics Applied to Livestock Production","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Imputation (statistics); Beef cattle; Biology; Genetics; Missing data; Statistics; Mathematics","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":[0.008213826,0.0008460645,0.001535775,0.001749428,0.003214234,0.002256286,0.003426135,0.001581983,0.007676267],"category_scores_gemma":[0.0161886,0.0006243607,0.001389615,0.007083063,0.000870654,0.0004843168,0.001050199,0.001813236,0.001029151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01231849,"about_ca_system_score_gemma":0.0264432,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9762447,"about_ca_topic_score_gemma":0.9810373,"domain_scores_codex":[0.9966126,0.0009781227,0.0001633599,0.0008697397,0.0006127246,0.0007634784],"domain_scores_gemma":[0.9919034,0.003443723,0.0003407771,0.001122439,0.00275661,0.0004331393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005359634,0.000318813,0.628626,0.0005211892,0.004673436,0.001396801,0.001938025,0.05766501,0.003915702,0.01001159,0.1542023,0.1313716],"study_design_scores_gemma":[0.0007610555,0.00009140259,0.875393,0.0002090854,0.001329969,0.0003185163,0.001175124,0.06122746,0.0009327005,0.003649849,0.05471459,0.0001971916],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8228017,0.005293563,0.02049934,0.005637277,0.000322085,0.0002028365,0.1333917,0.0009841913,0.01086731],"genre_scores_gemma":[0.8632724,0.00139996,0.01914409,0.001067681,0.00006627471,0.0001764313,0.1032392,0.0004116478,0.01122228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02375531,"threshold_uncertainty_score":0.08937734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007807126760342369,"score_gpt":0.2264536518220685,"score_spread":0.2186465250617262,"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."}}