{"id":"W4387332491","doi":"10.1016/j.meatsci.2023.109351","title":"Genetic parameter estimates for sensory and meat quality traits measured at 3 and 29 days of aging of beef from Canadian crossbred cattle","year":2023,"lang":"en","type":"article","venue":"Meat Science","topic":"Meat and Animal Product Quality","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture Food and Rural Development; Agriculture and Agri-Food Canada; University of Alberta","funders":"","keywords":"Heritability; Tenderness; Intramuscular fat; Breed; Crossbreed; Biology; Genetic correlation; Beef cattle; Palatability; Best linear unbiased prediction; Animal science; Trait; Meat tenderness; Restricted maximum likelihood; Veterinary medicine; Biotechnology; Genetic variation; Selection (genetic algorithm); Food science; Statistics; Genetics; Medicine; Mathematics; Maximum likelihood","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001392783,0.0004882961,0.000379608,0.001480574,0.0008313056,0.0005332812,0.0007901336,0.0004346788,0.001557374],"category_scores_gemma":[0.001796911,0.0002656958,0.0005672227,0.00129205,0.0006439421,0.0001843167,0.0003226853,0.0004562876,0.0001291379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004545952,"about_ca_system_score_gemma":0.002363079,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.69673,"about_ca_topic_score_gemma":0.7666981,"domain_scores_codex":[0.9992914,0.00009302194,0.00003582859,0.0002645442,0.000185127,0.0001300101],"domain_scores_gemma":[0.9979406,0.0007463181,0.0003474681,0.0001519934,0.0005826908,0.0002309278],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002491109,0.0002181995,0.8258858,0.00007097046,0.001148741,0.0004820394,0.002412651,0.009390831,0.137243,0.0005762569,0.0004960993,0.01958426],"study_design_scores_gemma":[0.000004128849,0.00002940947,0.9983808,0.000003229205,0.00005607504,0.00003499769,0.0001252901,0.0006531042,0.0005430431,0.00002053155,0.0001364778,0.00001284693],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998556,0.00008451952,0.0003952895,0.00001215872,0.000001586164,0.000004633923,0.0007362004,0.000007530779,0.0002022732],"genre_scores_gemma":[0.9972302,0.00006857961,0.0005040689,0.00001151846,0.000001388597,0.000008324969,0.001399779,0.00001593037,0.0007601029],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.30327,"threshold_uncertainty_score":0.6101121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09841209243542755,"score_gpt":0.299239234847108,"score_spread":0.2008271424116805,"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."}}