{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005912576,0.0002880111,0.0002253007,0.0009780434,0.000410227,0.0003166844,0.0003240198,0.0002919147,0.00177329],"category_scores_gemma":[0.0007471549,0.0001028729,0.0003531489,0.001210443,0.0003374303,0.00009607245,0.0002162542,0.0002341635,0.00008111075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000371378,"about_ca_system_score_gemma":0.0003434555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009276046,"about_ca_topic_score_gemma":0.01706208,"domain_scores_codex":[0.9997103,0.00006074145,0.00001522861,0.0001160278,0.00004280527,0.00005488428],"domain_scores_gemma":[0.9993001,0.0002534637,0.0002970974,0.0000295543,0.00005527834,0.00006442202],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002775775,0.00003241342,0.9833562,0.00006515835,0.000176638,0.0006541708,0.0002681286,0.000173959,0.007243038,0.0001007586,0.0001350484,0.007516875],"study_design_scores_gemma":[0.000004207925,0.00003156296,0.9991336,0.000007204389,0.00004855138,0.0001633266,0.00006952031,0.0001945919,0.0001455801,0.00002207684,0.0001778866,0.000001766675],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984641,0.000721909,0.0001891276,0.00006212678,0.000003850153,0.00000531568,0.0002692972,0.000004424017,0.0002799049],"genre_scores_gemma":[0.9989582,0.0001219638,0.000453591,0.0000204995,0.000008375132,0.000009106087,0.0002378777,0.000001718183,0.0001886732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009276046,"threshold_uncertainty_score":0.01844406,"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."}}