{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007876131,0.0002032103,0.0002877983,0.0001347163,0.00002423368,0.00001328563,0.0003058775,0.0003197846,0.00002586411],"category_scores_gemma":[0.0001386002,0.0002227307,0.00008537705,0.0001218534,0.00006578266,0.000002652285,0.00008386034,0.0001236587,0.00000781485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007798491,"about_ca_system_score_gemma":0.000141263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001087723,"about_ca_topic_score_gemma":0.00006640283,"domain_scores_codex":[0.9982414,0.0002904415,0.0003832247,0.0005353609,0.0001528658,0.0003967122],"domain_scores_gemma":[0.999261,0.00004386979,0.0001034389,0.0004483522,0.00008504745,0.00005828205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006816869,0.0003362228,0.4146965,0.0001332108,0.0001327096,8.039492e-7,0.000574612,0.06048357,0.3626614,0.0006014979,0.009565592,0.1501322],"study_design_scores_gemma":[0.008784029,0.002954811,0.7437587,0.00006118452,0.000145916,0.0000144273,0.001123202,0.01130873,0.09083699,0.01843159,0.1212588,0.001321595],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8662213,0.004413639,0.1252991,0.00004927495,0.001736173,0.00110592,0.00001976271,0.000006353478,0.001148505],"genre_scores_gemma":[0.5692641,0.00009096615,0.4297257,0.0001309109,0.0001673522,0.00008399785,0.0001117567,0.00003111333,0.0003941878],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3290622,"threshold_uncertainty_score":0.9082695,"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."}}