{"id":"W2996659013","doi":"10.3389/fgene.2019.01248","title":"Single-Step Methodology for Genomic Evaluation in Turkeys (Meleagris gallopavo)","year":2019,"lang":"en","type":"article","venue":"Frontiers in Genetics","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Government of Canada; Ontario Genomics; Ontario Genomics Institute; Genome Canada","keywords":"Heritability; Best linear unbiased prediction; Residual feed intake; Weighting; Feed conversion ratio; Genetic correlation; Residual; Repeatability; Biology; Statistics; Animal science; Mathematics; Selection (genetic algorithm); Body weight; Genetic variation; Genetics; Computer science; Medicine; Algorithm; Machine learning","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":[0.001771589,0.0006001433,0.000481169,0.0006120034,0.0002028264,0.0005408515,0.000588184,0.0004100388,0.001088981],"category_scores_gemma":[0.003277598,0.0002762006,0.0005618439,0.0004735804,0.0001963956,0.0004138632,0.0004128786,0.0003690965,0.0004128859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004252596,"about_ca_system_score_gemma":0.000430389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004230259,"about_ca_topic_score_gemma":0.006564157,"domain_scores_codex":[0.9993338,0.0003547384,0.00001935413,0.000184809,0.00007976201,0.00002749625],"domain_scores_gemma":[0.9987043,0.000811407,0.0001412471,0.0001446811,0.0001604764,0.00003787633],"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":[0.0009715438,0.00047314,0.1253595,0.0003230893,0.0006540701,0.0003247793,0.0003431664,0.3574676,0.05892301,0.001593456,0.0008783371,0.4526882],"study_design_scores_gemma":[0.00003024881,0.0006669853,0.0717269,0.00001977066,0.0001072114,0.0001978978,0.00009442459,0.9117119,0.01331206,0.001521659,0.0005641004,0.00004698258],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5159908,0.0003107928,0.4812104,0.00005239334,0.00002008838,0.0001086366,0.0005771747,0.0009674369,0.0007622566],"genre_scores_gemma":[0.8030077,0.0001209287,0.1948806,0.00002770017,0.000004482081,0.0001428882,0.0008713041,0.00007507629,0.0008692776],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.004230259,"threshold_uncertainty_score":0.009369135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03558427199199712,"score_gpt":0.2788534982886829,"score_spread":0.2432692262966858,"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."}}