{"id":"W2071303062","doi":"10.1371/journal.pone.0110105","title":"Genetic and Phenotypic Correlations between Performance Traits with Meat Quality and Carcass Characteristics in Commercial Crossbred Pigs","year":2014,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brandon University; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Heritability; Biology; Crossbreed; Selection (genetic algorithm); Genetic correlation; Animal science; Carcass weight; Marbled meat; Additive genetic effects; Birth weight; Biotechnology; Genetic variation; Body weight; Genetics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002062084,0.0003993667,0.0002316732,0.0008999277,0.0001724373,0.000371512,0.0002646917,0.0004410698,0.0008329656],"category_scores_gemma":[0.002245687,0.0003251806,0.0002952286,0.0005594547,0.0004861066,0.0002445509,0.0004083778,0.0003487386,0.0001532717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002031049,"about_ca_system_score_gemma":0.0001598092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001453134,"about_ca_topic_score_gemma":0.002143471,"domain_scores_codex":[0.9988849,0.0004465463,0.00009310168,0.0002932153,0.0001857802,0.00009656146],"domain_scores_gemma":[0.9976696,0.001116153,0.0005140242,0.0002528034,0.0001962386,0.0002511113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003491641,0.0001129277,0.9797047,0.000009367384,0.0002646792,0.0002384319,0.0002252219,0.0005491802,0.01618504,0.0000427252,0.00003169776,0.002286874],"study_design_scores_gemma":[0.000004181886,0.0001196311,0.9989537,0.000001274292,0.0000190916,0.0001163939,0.00003439665,0.0005112808,0.0002008442,0.00001366131,0.00002208746,0.000003433953],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998202,0.00001615937,0.0001013345,0.000002359975,4.921654e-7,8.928391e-7,0.00001838006,0.000001321524,0.00003897911],"genre_scores_gemma":[0.9996102,0.000009016487,0.0001621101,0.000002749443,0.000001355873,0.000003305094,0.00008376903,0.000002485239,0.0001250813],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002062084,"threshold_uncertainty_score":0.01090544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03788198021523174,"score_gpt":0.2430063887018948,"score_spread":0.205124408486663,"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."}}