{"id":"W3159721645","doi":"10.1071/an20275","title":"Genome-wide association study between copy number variation regions and carcass- and meat-quality traits in Nellore cattle","year":2021,"lang":"en","type":"article","venue":"Animal Production Science","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Marbled meat; Biology; Beef cattle; Quantitative trait locus; Zebu; Tenderness; Candidate gene; Single-nucleotide polymorphism; Genetics; Meat tenderness; Copy-number variation; Genetic variation; Genetic architecture; Context (archaeology); Genome-wide association study; Gene; Animal science; Genome; Genotype","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005188736,0.0001769904,0.0002453351,0.0008480625,0.0003446491,0.0003827453,0.000250563,0.0002636993,0.001951978],"category_scores_gemma":[0.0005101373,0.0001123668,0.000324013,0.000740813,0.0002036222,0.0001241603,0.000235258,0.0002009557,0.0001326062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002881484,"about_ca_system_score_gemma":0.0001528499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004536116,"about_ca_topic_score_gemma":0.01092366,"domain_scores_codex":[0.9996198,0.00007590504,0.00002081443,0.0001790997,0.00004975748,0.00005451303],"domain_scores_gemma":[0.9995574,0.0001579543,0.0001472771,0.00003231363,0.00003771468,0.00006718529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006433846,0.00006096906,0.9637601,0.00006155922,0.0004710253,0.000344063,0.0001878784,0.0001350254,0.02687079,0.00007313218,0.000170678,0.007221519],"study_design_scores_gemma":[0.000007270232,0.00004498716,0.9987553,0.000005789385,0.00009529715,0.0002057102,0.00004048241,0.0002237593,0.0003158773,0.00001749976,0.0002850726,0.000002921016],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987753,0.000351832,0.0002686635,0.00001761723,0.000002788179,0.000003108937,0.0003222948,0.000004816024,0.0002536158],"genre_scores_gemma":[0.9980674,0.0001236409,0.0005606437,0.00002440412,0.000007573062,0.000009629992,0.0006739604,0.000003988881,0.0005286386],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004536116,"threshold_uncertainty_score":0.009019434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03127088147835992,"score_gpt":0.3084927153983023,"score_spread":0.2772218339199423,"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."}}