{"id":"W2464227139","doi":"10.1017/s1751731115002281","title":"Genetic and phenotypic correlations among feed efficiency, production and selected conformation traits in dairy cows","year":2015,"lang":"en","type":"article","venue":"animal","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture Food and Rural Development; University of Guelph; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Residual feed intake; Lactation; Biology; Animal science; Heritability; Feed conversion ratio; Dairy cattle; Genetic correlation; Milk production; Biotechnology; Body weight; Genetic variation; Genetics; Pregnancy; Endocrinology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001433494,0.0001957715,0.0002955285,0.0009639863,0.0002135393,0.0003737547,0.0002192996,0.0002633681,0.0003595222],"category_scores_gemma":[0.001518021,0.0002198513,0.00029794,0.000899015,0.0003105548,0.0001974825,0.0002809196,0.0002302827,0.00007270942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002918766,"about_ca_system_score_gemma":0.0001849473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002370326,"about_ca_topic_score_gemma":0.004880816,"domain_scores_codex":[0.9992685,0.0002634286,0.00006664515,0.0001902636,0.0001453935,0.00006583183],"domain_scores_gemma":[0.998743,0.0005418641,0.000430761,0.0001267715,0.00007921189,0.00007840471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001524736,0.00003050885,0.9916454,0.000007463899,0.0001600171,0.00005281577,0.0001233816,0.0003159109,0.004674715,0.00001767757,0.00001625496,0.002803326],"study_design_scores_gemma":[0.000001183714,0.00004519427,0.9994196,8.641709e-7,0.00001515693,0.00004467319,0.00002378656,0.0003365497,0.00008798044,0.000008634332,0.00001461597,0.000001629069],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999747,0.00004770824,0.0001262901,0.000001619264,3.110364e-7,0.000001212127,0.00003687953,0.000001139578,0.00003775357],"genre_scores_gemma":[0.9994236,0.00003453286,0.0003179928,0.000003101067,0.000001532492,0.000004471469,0.0001530607,0.00000145646,0.00006020949],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002370326,"threshold_uncertainty_score":0.007581115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01135569516517628,"score_gpt":0.2207922390916643,"score_spread":0.209436543926488,"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."}}