{"id":"W2536281384","doi":"10.4238/gmr15048930","title":"Systems genetics and genome-wide association approaches for analysis of feed intake, feed efficiency, and performance in beef cattle","year":2016,"lang":"en","type":"article","venue":"Genetics and Molecular Research","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; McGill University","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Beef cattle; Genome-wide association study; Biology; Animal science; Residual feed intake; Biotechnology; Genetic association; Genome; Feed conversion ratio; Genetics; Body weight; Genotype; Single-nucleotide polymorphism; Gene","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":[0.0008149623,0.0001444795,0.0002507875,0.0001796569,0.0001261216,0.00005669082,0.0001834128,0.0001939999,0.000001364113],"category_scores_gemma":[0.0001864268,0.0001221281,0.00004307961,0.0001973768,0.0002427547,0.000003382745,0.000233586,0.0000802153,2.445139e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002458472,"about_ca_system_score_gemma":0.00005614422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002826374,"about_ca_topic_score_gemma":0.00003662735,"domain_scores_codex":[0.9985085,0.0001214835,0.0002781985,0.000455821,0.0002643357,0.0003716711],"domain_scores_gemma":[0.9991783,0.0001092868,0.0001080478,0.0003196344,0.0001713896,0.0001133027],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001874785,0.0001536662,0.6089907,0.0002735442,0.0006475211,4.749612e-7,0.000341944,0.002020882,0.3729314,0.0007176964,0.0001303365,0.01360441],"study_design_scores_gemma":[0.001243895,0.000968434,0.9485945,0.00002649324,0.0001653214,0.000001507698,0.0001624325,0.001900049,0.04446198,0.0002106598,0.002000387,0.0002643889],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9767272,0.009436781,0.01290454,0.0001862644,0.00002909297,0.0004936385,0.00007974562,0.000002226414,0.0001405519],"genre_scores_gemma":[0.9953446,0.002414125,0.001813539,0.00002489406,0.0000261657,0.00006062096,0.00004037226,0.00002046361,0.0002552326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3396038,"threshold_uncertainty_score":0.498024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04012515163874725,"score_gpt":0.2861089603812004,"score_spread":0.2459838087424531,"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."}}