{"id":"W2035448288","doi":"10.2527/jas.2012-5470","title":"Phenotypic and genetic relationships of feed efficiency with growth performance, ultrasound, and carcass merit traits in Angus and Charolais steers1","year":2013,"lang":"en","type":"article","venue":"Journal of Animal Science","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":124,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture Food and Rural Development; Agriculture and Agri-Food Canada; University of Alberta","funders":"","keywords":"Residual feed intake; Marbled meat; Biology; Beef cattle; Population; Animal science; Carcass weight; Genetic correlation; Feed conversion ratio; Biotechnology; Genetic variation; Body weight; Genetics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002651174,0.00009252375,0.0001362939,0.0000926171,0.00009841427,0.00003170733,0.000134532,0.00004811063,0.000004217221],"category_scores_gemma":[0.00008306445,0.00006894601,0.00001247305,0.0001961617,0.0005926486,0.00002958111,0.00003899066,0.000115478,2.146518e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006721188,"about_ca_system_score_gemma":0.00009626277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001942962,"about_ca_topic_score_gemma":0.00001081837,"domain_scores_codex":[0.9992145,0.00003019423,0.000222811,0.0001759423,0.0001860464,0.0001704961],"domain_scores_gemma":[0.999496,0.00002873558,0.0001444361,0.00006139916,0.0001517621,0.0001177007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001075045,0.00003423234,0.3331755,0.00002921344,0.000007584087,8.743029e-7,0.0006061596,0.00004062047,0.6640319,0.0002423606,0.000006425219,0.001717749],"study_design_scores_gemma":[0.0004824477,0.002016726,0.9842808,0.00002962245,0.00001324935,0.0003292653,0.0003296952,0.00006387989,0.01220312,0.0001551488,0.00000813928,0.00008789571],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981778,0.001204063,0.0002347736,0.00004845113,0.00001965647,0.0001076978,0.000001707019,9.893055e-7,0.0002048247],"genre_scores_gemma":[0.9884901,0.0001721465,0.01126934,0.00001782143,0.00003403172,0.000001572449,2.20815e-7,0.000004853996,0.000009912846],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6518287,"threshold_uncertainty_score":0.2811537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008663690570318235,"score_gpt":0.2060743849627707,"score_spread":0.1974106943924525,"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."}}