{"id":"W222629493","doi":"10.31274/ans_air-180814-1355","title":"Accuracies of Genomic Prediction of Traits Associated with Lactation and Reproduction in Yorkshire and Landrace Sows","year":2015,"lang":"en","type":"report","venue":"","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Genome Alberta; Alberta Livestock and Meat Agency","keywords":"Genomic selection; Selection (genetic algorithm); Biology; Best linear unbiased prediction; Reproduction; Genetics; Evolutionary biology; Genotype; Machine learning; Single-nucleotide polymorphism; Gene; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008292387,0.0002212132,0.0002262438,0.0004261979,0.0001428775,0.0004296094,0.0001422494,0.0002097909,0.0006391777],"category_scores_gemma":[0.00193193,0.0001092645,0.0001821374,0.000194078,0.0002142125,0.0001685174,0.0002198932,0.0001794205,0.0002392959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003215211,"about_ca_system_score_gemma":0.000142777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01372591,"about_ca_topic_score_gemma":0.02537913,"domain_scores_codex":[0.9997744,0.00006403285,0.00001650686,0.00008624726,0.00003926884,0.00001952378],"domain_scores_gemma":[0.9987381,0.0007472387,0.0002072911,0.0001010607,0.0001582126,0.00004813519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000638773,0.00002677764,0.9606103,0.00002850286,0.0001388915,0.0001112484,0.0002740469,0.003928551,0.01802753,0.00008550657,0.0001386472,0.01599124],"study_design_scores_gemma":[0.000009151053,0.00008988622,0.9914283,0.00000723011,0.00003276131,0.00008082407,0.00008941231,0.005901908,0.002156861,0.00004782607,0.0001482526,0.000007549443],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983361,0.00007697418,0.001030804,0.000007848051,0.000002579093,0.000001991479,0.0002605258,0.00001913844,0.0002640063],"genre_scores_gemma":[0.9980578,0.00003841753,0.000954024,0.000004188348,0.000001647111,0.000003063385,0.000647455,0.000006194046,0.000287176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01372591,"threshold_uncertainty_score":0.02729201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03144420435499242,"score_gpt":0.2587554350653449,"score_spread":0.2273112307103525,"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."}}