{"id":"W4319736128","doi":"10.3920/978-90-8686-940-4_325","title":"325. An iterative method for deregressed proof in single-step genomic BLUP and its application to a dairy cattle population","year":2022,"lang":"en","type":"article","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":"Valacta (Canada); Ste. Anne's Hospital","funders":"","keywords":"Best linear unbiased prediction; Mathematics; Extension (predicate logic); Population; Iterative method; Selection (genetic algorithm); Matrix (chemical analysis); Algorithm; Inverse; Statistics; Mathematical optimization; Computer science; Medicine; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001691732,0.0005372193,0.0005669449,0.0005595592,0.0002930564,0.0004830325,0.001195568,0.0006380785,0.003543972],"category_scores_gemma":[0.003886189,0.0003414521,0.0007820536,0.0005245491,0.0005422087,0.0006742509,0.00110703,0.0008263513,0.001172963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004126911,"about_ca_system_score_gemma":0.0008928214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00313858,"about_ca_topic_score_gemma":0.00338201,"domain_scores_codex":[0.9993514,0.0003063248,0.00003974409,0.0000954219,0.0001494261,0.00005763764],"domain_scores_gemma":[0.9987755,0.0008162125,0.00007512237,0.000100492,0.0002031371,0.00002953397],"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":[0.0002063363,0.00009106322,0.003085853,0.0001909983,0.000148856,0.0003324867,0.0003356266,0.3251885,0.01943953,0.03951481,0.002064255,0.6094016],"study_design_scores_gemma":[0.00003710006,0.00006753258,0.000663147,0.00001240274,0.00002663714,0.0001385516,0.00002522394,0.981786,0.004982216,0.008913178,0.003330302,0.00001774372],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003861455,0.00003166423,0.9955089,0.00002512522,0.000006875662,0.00002842258,0.00001866631,0.0002073481,0.0003116409],"genre_scores_gemma":[0.04656621,0.00004314794,0.9515358,0.00004112618,0.00001170346,0.0001231385,0.00009294365,0.0001077365,0.001478289],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003543972,"threshold_uncertainty_score":0.01185578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01794587509678371,"score_gpt":0.2895124090855282,"score_spread":0.2715665339887445,"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."}}