{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009367998,0.00008390677,0.0001075601,0.0000303392,0.0002009096,0.00004969227,0.00007756373,0.00006199261,0.000006207458],"category_scores_gemma":[0.000921982,0.0000876806,0.00001329648,0.0003006103,0.0001274769,0.00002157,0.00008418693,0.00009522941,0.000002344116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003135027,"about_ca_system_score_gemma":0.0001347651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005457628,"about_ca_topic_score_gemma":0.0001179876,"domain_scores_codex":[0.998733,0.0001421595,0.000184946,0.0005510281,0.0002113123,0.0001775241],"domain_scores_gemma":[0.9994723,0.0000351877,0.00008451618,0.0001557223,0.0001908176,0.00006147951],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001386025,0.0000655544,0.8877451,0.000006150879,0.00001046105,2.025386e-7,0.001156584,0.00003140846,0.1103152,0.0002963132,0.00004444709,0.0003146778],"study_design_scores_gemma":[0.0002144917,0.0001276766,0.9862138,0.00000258375,0.00001455751,0.000004181881,0.0007109474,8.515507e-7,0.01167976,0.0006526591,0.0002765327,0.0001019298],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979281,0.0001005819,0.0005064464,0.0008122356,0.00009728907,0.0001988322,0.000005556985,0.000006665397,0.0003442327],"genre_scores_gemma":[0.9975198,0.00002275356,0.001700415,0.00005906237,0.0001802171,0.000008623279,0.00001054808,0.000005362831,0.0004932349],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09863548,"threshold_uncertainty_score":0.3575511,"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."}}