{"id":"W1991065782","doi":"10.2527/jas.2014-7685","title":"Genetic and phenotypic parameters for carcass and meat quality traits in commercial crossbred pigs1","year":2014,"lang":"en","type":"article","venue":"Journal of Animal Science","topic":"Meat and Animal Product Quality","field":"Agricultural and Biological Sciences","cited_by":103,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Livestock and Meat Agency; University of Alberta","funders":"","keywords":"Heritability; Biology; Crossbreed; Genetic correlation; Large white; Pedigree chart; Animal science; Veterinary medicine; Biotechnology; Genetic variation; Genetics; Medicine; Gene","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":[0.001798297,0.0005617124,0.0002555514,0.001353424,0.0004757888,0.0004481543,0.0004931634,0.0003295191,0.0009313058],"category_scores_gemma":[0.002007133,0.0002507116,0.0003738779,0.0009395016,0.0006991949,0.0001608026,0.0002881558,0.000326293,0.0001110252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001038569,"about_ca_system_score_gemma":0.0008830682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1618914,"about_ca_topic_score_gemma":0.2608674,"domain_scores_codex":[0.9992324,0.0001534084,0.00004319001,0.0002268821,0.000267662,0.00007637816],"domain_scores_gemma":[0.9986051,0.0005516058,0.0003079718,0.0001556631,0.0002466795,0.0001330146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000339099,0.00009250746,0.9517467,0.00003007804,0.0004543695,0.0002764203,0.0006927072,0.001171084,0.0345167,0.000119199,0.0001351806,0.01042594],"study_design_scores_gemma":[0.000003864489,0.00003146399,0.9991641,0.000002063271,0.00002074908,0.00006890744,0.00004411199,0.0004029898,0.0001897909,0.00001156183,0.00005594452,0.000004532225],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990612,0.00006998629,0.000479077,0.00000574723,9.484056e-7,0.000006096113,0.0002129414,0.000005905051,0.0001580187],"genre_scores_gemma":[0.9972906,0.00005477854,0.001239686,0.00001111215,0.000002422807,0.00001330168,0.0009882628,0.00001477276,0.0003852344],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1618914,"threshold_uncertainty_score":0.3218982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08202164730694424,"score_gpt":0.313855332606756,"score_spread":0.2318336852998117,"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."}}