{"id":"W4412514694","doi":"10.1007/s13353-025-00987-z","title":"Genotype by environment interaction for productive and reproductive traits in beef cattle using imputed whole genome sequence","year":2025,"lang":"en","type":"article","venue":"Journal of Applied Genetics","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Biology; Genotype; Genetics; Beef cattle; Whole genome sequencing; Genome; Sequence (biology); Gene–environment interaction; Biotechnology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004451954,0.0009326186,0.001078596,0.001664446,0.0007064369,0.0009698347,0.001442992,0.001055311,0.00362456],"category_scores_gemma":[0.003890145,0.0006597369,0.002747098,0.001833276,0.0008066665,0.0005897288,0.0008052648,0.001662916,0.0002821747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004156303,"about_ca_system_score_gemma":0.000473378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0137285,"about_ca_topic_score_gemma":0.01680365,"domain_scores_codex":[0.9966186,0.001884927,0.0001080642,0.0007947421,0.000202577,0.0003910131],"domain_scores_gemma":[0.9955127,0.00347029,0.000360267,0.00028534,0.0001003868,0.0002709818],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01136961,0.0008127348,0.8933952,0.0001672705,0.01619017,0.002399828,0.0008886488,0.01063316,0.03799904,0.0009105376,0.0008567572,0.0243769],"study_design_scores_gemma":[0.0001156088,0.0003890081,0.9670656,0.00001960023,0.002059742,0.000527624,0.0002615161,0.02763024,0.0009172741,0.0004883901,0.0004652577,0.00006028135],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957486,0.000206172,0.002999694,0.00009699104,0.00001762622,0.000004649899,0.0007346219,0.0000527568,0.0001389535],"genre_scores_gemma":[0.9969902,0.00004745524,0.001490423,0.00005316529,0.00001641155,0.00001412569,0.0008745744,0.00003838617,0.000475254],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0137285,"threshold_uncertainty_score":0.0272972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01444229627016231,"score_gpt":0.2623731877505778,"score_spread":0.2479308914804155,"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."}}