{"id":"W2799997470","doi":"","title":"Assessing Haplotype-based Methods for Genomic Prediction in Holstein Cattle and Major Swine Breeds in Canada","year":2018,"lang":"en","type":"dissertation","venue":"The Atrium (University of Guelph)","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agriculture and Agri-Food Canada; Canadian Dairy Commission; Dairy Farmers of Canada; North Carolina State University","keywords":"Haplotype; Genomic selection; Holstein Cattle; Biology; Dairy cattle; Genetics; Geography; Veterinary medicine; Biotechnology; Single-nucleotide polymorphism; Medicine; Genotype; Gene","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008700689,0.0005345868,0.0005715458,0.001750945,0.002327472,0.002180015,0.001525652,0.0006093337,0.001017528],"category_scores_gemma":[0.02109585,0.0002581454,0.0007113469,0.002694136,0.001066865,0.0004631187,0.001124325,0.000927544,0.0001769414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02441124,"about_ca_system_score_gemma":0.02349961,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9887162,"about_ca_topic_score_gemma":0.9925727,"domain_scores_codex":[0.9969565,0.0008932547,0.0001183924,0.0005799977,0.001029971,0.0004219581],"domain_scores_gemma":[0.9785016,0.009030097,0.0007550835,0.0005551169,0.009907758,0.001250438],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009940581,0.0001195287,0.874343,0.0001238193,0.001242178,0.0001803449,0.001636318,0.04675889,0.002245456,0.002506903,0.004850757,0.0649987],"study_design_scores_gemma":[0.0001314838,0.0001133722,0.8471585,0.0001237344,0.0004678571,0.0001002233,0.003187575,0.1415899,0.002079495,0.001035701,0.003934339,0.00007773161],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9843848,0.001246534,0.007464727,0.0006883069,0.00002453572,0.00009191833,0.002633455,0.00008886137,0.003376948],"genre_scores_gemma":[0.9799669,0.0005436213,0.01221517,0.00011877,0.0000133476,0.00003190175,0.004505234,0.00005854417,0.002546619],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02441124,"threshold_uncertainty_score":0.1771168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01457940421001726,"score_gpt":0.2585586926240966,"score_spread":0.2439792884140794,"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."}}