{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001006362,0.00009817933,0.00008392048,0.00004234667,0.00005494223,0.00001398182,0.00004682212,0.00009928833,0.000003180222],"category_scores_gemma":[0.0001176759,0.00009909888,0.000009431707,0.0001146031,0.0001104558,0.000009224344,0.00003258267,0.00007162425,0.000002664398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007791106,"about_ca_system_score_gemma":0.00006654705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002586792,"about_ca_topic_score_gemma":0.0001308832,"domain_scores_codex":[0.9993584,0.00004071393,0.000160695,0.0002194957,0.0000768467,0.0001438532],"domain_scores_gemma":[0.9997101,0.00000646488,0.00004890386,0.00008089669,0.00007708286,0.00007649577],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007205628,0.0003150089,0.7738273,0.0000888841,0.00006728384,0.000001676635,0.007230655,0.005539155,0.1913471,0.002754305,0.003595097,0.01451293],"study_design_scores_gemma":[0.0004974094,0.0004172778,0.9959727,0.000009234129,0.00001322608,0.00002327704,0.0002422003,0.0007127111,0.001571139,0.0002078911,0.0002091325,0.0001237824],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964895,0.0006756103,0.001861152,0.00005500504,0.0000794886,0.0002416614,0.000003955202,0.0000122375,0.0005813676],"genre_scores_gemma":[0.9965345,0.00001962206,0.003130909,0.00002819421,0.0001016723,0.00001351822,0.00002679218,0.000008811788,0.0001360408],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2221454,"threshold_uncertainty_score":0.4041135,"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."}}