{"id":"W2300170747","doi":"10.1534/g3.115.025957","title":"Implementation of the Realized Genomic Relationship Matrix to Open-Pollinated White Spruce Family Testing for Disentangling Additive from Nonadditive Genetic Effects","year":2016,"lang":"en","type":"article","venue":"G3 Genes Genomes Genetics","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":88,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Epistasis; Heritability; Additive model; Biology; Additive genetic effects; Genetic gain; Genetic model; Genetic architecture; Statistics; Pairwise comparison; Genetics; Evolutionary biology; Quantitative trait locus; Genetic variation; Mathematics","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":[0.0007936663,0.0003766961,0.0002014009,0.0003669765,0.0002146596,0.0003487444,0.0007816445,0.0001817056,0.002879407],"category_scores_gemma":[0.003037295,0.0001993817,0.0003785558,0.0003354879,0.0001573818,0.0002699647,0.0002922662,0.0003131593,0.0003963286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005656578,"about_ca_system_score_gemma":0.001323816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03509248,"about_ca_topic_score_gemma":0.06269803,"domain_scores_codex":[0.9995531,0.0001718114,0.00002183902,0.0001390959,0.0000787257,0.00003541674],"domain_scores_gemma":[0.9992831,0.0003220152,0.0000809545,0.00008776389,0.0001944451,0.00003169142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006284726,0.0004260272,0.1669051,0.00021866,0.0005121581,0.0008986088,0.0008133369,0.2894037,0.06847814,0.025599,0.00431736,0.4417995],"study_design_scores_gemma":[0.00003310895,0.0001625154,0.03568498,0.00001357317,0.00003989709,0.0001663218,0.0001059473,0.9450728,0.01109494,0.004107362,0.003485464,0.0000332193],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2755587,0.00003218923,0.7185586,0.00007511614,0.0000186063,0.00009169019,0.001316407,0.002572853,0.001775772],"genre_scores_gemma":[0.6843562,0.00002339234,0.312171,0.00002602529,0.000004496923,0.0001257587,0.001743037,0.0001400622,0.001410148],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03509248,"threshold_uncertainty_score":0.06977642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02146886465745951,"score_gpt":0.2988900234391085,"score_spread":0.277421158781649,"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."}}