{"id":"W3133288048","doi":"10.3168/jds.2020-18944","title":"Potential effects of hormonal synchronized breeding on genetic evaluations of fertility traits in dairy cattle: A simulation study","year":2021,"lang":"en","type":"article","venue":"Journal of Dairy Science","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","funders":"Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada; Canadian Dairy Commission; Dairy Farmers of Canada","keywords":"Biology; Trait; Artificial insemination; Fertility; Dairy cattle; Herd; Ice calving; Genetic correlation; Statistics; Insemination; Animal science; Ovulation; Hormone; Biotechnology; Genetics; Demography; Lactation; Mathematics; Genetic variation; Endocrinology; Gene; Pregnancy; Computer science; Population","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.004645648,0.0004873651,0.0005836494,0.0004985136,0.0004435337,0.0006484248,0.0009007702,0.0009746802,0.001045994],"category_scores_gemma":[0.01042695,0.0003624895,0.001240362,0.0005591196,0.0005374913,0.0006021423,0.0005803486,0.0006997879,0.00008008984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001240122,"about_ca_system_score_gemma":0.0009240038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02252714,"about_ca_topic_score_gemma":0.01732493,"domain_scores_codex":[0.9984058,0.001119589,0.00005676647,0.0001842137,0.00008847863,0.0001453081],"domain_scores_gemma":[0.9869285,0.01042589,0.0009402085,0.00066258,0.0007221542,0.000320654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009012892,0.0005800729,0.1197922,0.00005790523,0.000285384,0.000217142,0.0001738731,0.8702278,0.002013285,0.0009182358,0.0002384254,0.004594467],"study_design_scores_gemma":[0.0001526553,0.0008473422,0.02694172,0.00001729273,0.0001264826,0.00004966355,0.0001407333,0.9700664,0.001023984,0.0004192995,0.0001844674,0.00003000637],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980691,0.0000320694,0.001434725,0.00003612023,0.000003421633,0.00002080804,0.0001213063,0.00001167419,0.00027081],"genre_scores_gemma":[0.9978187,0.00002670676,0.001818549,0.00001567516,0.000001611009,0.00003533233,0.0001467167,0.00000302458,0.0001335702],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02252714,"threshold_uncertainty_score":0.044792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01605563305622495,"score_gpt":0.3006504967618915,"score_spread":0.2845948637056666,"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."}}