{"id":"W3108681522","doi":"10.1093/jas/skaa278.019","title":"9 A comparison of different genomic prediction methods in the Canadian Landrace swine population","year":2020,"lang":"en","type":"article","venue":"Journal of Animal Science","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Dalhousie University","funders":"","keywords":"Best linear unbiased prediction; Genomic selection; Statistics; Biology; Population; Imputation (statistics); Selection (genetic algorithm); Restricted maximum likelihood; Mathematics; Single-nucleotide polymorphism; Genotype; Genetics; Maximum likelihood; Demography; Computer science; Missing data","routes":{"ca_aff":true,"ca_fund":false,"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":[0.003057006,0.0004621228,0.0002770852,0.0008615703,0.0006665156,0.0006770845,0.0006482392,0.0002893445,0.001314042],"category_scores_gemma":[0.004840864,0.0001355306,0.0004763453,0.0007762201,0.0003139689,0.0002439063,0.0003573115,0.0002952576,0.00032809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002060098,"about_ca_system_score_gemma":0.002939355,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6130836,"about_ca_topic_score_gemma":0.648967,"domain_scores_codex":[0.9991099,0.0002370184,0.00003582762,0.0002549458,0.0002675514,0.00009470356],"domain_scores_gemma":[0.9980982,0.000727551,0.0001624079,0.0001487349,0.0007768849,0.00008630078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004148257,0.00006014651,0.8668073,0.00006715064,0.0004568064,0.0001515383,0.0002654193,0.01718704,0.004328053,0.0005775797,0.00152696,0.1081572],"study_design_scores_gemma":[0.00003276335,0.0001048514,0.8872197,0.00004684481,0.0002150287,0.0001541425,0.0002784805,0.1073733,0.002024869,0.0004026225,0.002108069,0.00003926809],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9799825,0.0006929807,0.01418651,0.0002010945,0.00001382627,0.00004006947,0.00210041,0.0001880783,0.002594686],"genre_scores_gemma":[0.9868141,0.0001808247,0.009078861,0.0000440193,0.00000582576,0.00002105083,0.002812847,0.00002717183,0.001015209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3869164,"threshold_uncertainty_score":0.77839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.041384961446009,"score_gpt":0.3554029039526828,"score_spread":0.3140179425066738,"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."}}