{"id":"W2747577323","doi":"10.1186/s40104-017-0199-8","title":"Candidate genes for male and female reproductive traits in Canchim beef cattle","year":2017,"lang":"en","type":"article","venue":"Journal of Animal Science and Biotechnology/Journal of animal science and biotechnology","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; BIO (Canada); Saskatchewan Health Authority","funders":"Universidade Estadual Paulista; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Empresa Brasileira de Pesquisa Agropecuária; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Biology; Single-nucleotide polymorphism; Candidate gene; Genetics; Beef cattle; Genetic architecture; Quantitative trait locus; Gene; 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":["sts"],"consensus_categories":[],"category_scores_codex":[0.002793621,0.0002256332,0.0004462029,0.0006615662,0.0007735135,0.0001632033,0.001303677,0.0004534865,0.000002397211],"category_scores_gemma":[0.001362026,0.0001684718,0.00006156274,0.0004748953,0.008234231,0.0001492789,0.0005378302,0.0004516895,2.557067e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005740292,"about_ca_system_score_gemma":0.000884491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004327222,"about_ca_topic_score_gemma":0.00009350552,"domain_scores_codex":[0.9977769,0.00001960284,0.0005903675,0.0005952215,0.0004380984,0.0005798253],"domain_scores_gemma":[0.9977728,0.00002139743,0.0009286618,0.0003056638,0.0007674418,0.0002040011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005733278,0.00006636087,0.004322621,0.00001577109,0.00001909939,0.00001397717,0.0001161788,0.000001553569,0.9586667,0.002917934,0.00007032771,0.03321611],"study_design_scores_gemma":[0.001101241,0.01273813,0.242192,0.00007112229,0.00004488893,0.003855545,0.001355759,0.00002338113,0.7338109,0.001426103,0.003116454,0.0002644673],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874803,0.003301922,0.0001823438,0.008568898,0.0002028289,0.0001877787,0.0000118538,0.00000490747,0.00005911003],"genre_scores_gemma":[0.9858441,0.002333638,0.01148107,0.0001008625,0.0002141513,0.000002089772,1.89052e-7,0.000008595344,0.00001526645],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2378694,"threshold_uncertainty_score":0.9944648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01658779910610395,"score_gpt":0.2791564435665015,"score_spread":0.2625686444603976,"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."}}