{"id":"W2289365872","doi":"10.2527/af.2016-0010","title":"Genomics for phenotype prediction and management purposes","year":2016,"lang":"en","type":"article","venue":"Animal Frontiers","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Shandong Agricultural University; Bundesministerium für Bildung und Forschung; Shandong University; University of Guelph","keywords":"Heritability; Biology; Trait; Inbreeding; Genotyping; Runs of Homozygosity; Genetics; SNP; Herd; Genomics; Quantitative trait locus; Genomic selection; Computational biology; Evolutionary biology; Genotype; Single-nucleotide polymorphism; Genome; Computer science; Gene; Population; Ecology; Medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004373701,0.00008397353,0.00006432812,0.00001734631,0.00005505274,0.000008881762,0.00007371882,0.00006187228,0.000004456562],"category_scores_gemma":[0.000008478221,0.00006451039,0.0000314655,0.00001455504,0.00006145674,0.000002692808,0.00004299712,0.0000129202,0.000002364837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008807496,"about_ca_system_score_gemma":0.00001140502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001048027,"about_ca_topic_score_gemma":0.000001789721,"domain_scores_codex":[0.9994919,0.000008391024,0.00008820319,0.0002257025,0.00003984082,0.0001459251],"domain_scores_gemma":[0.9997816,0.000003651536,0.00002612094,0.0001201684,0.00001922924,0.00004923993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002006073,0.0001116342,0.02027054,0.0001222778,0.0005396892,7.100258e-7,0.0001958632,0.00003175049,0.5465591,0.03627087,0.1713514,0.22254],"study_design_scores_gemma":[0.002302207,0.001877821,0.2578839,0.00002176768,0.0001275369,0.00000640854,0.0002878048,0.00002621307,0.028442,0.009162043,0.6994956,0.0003667119],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.740171,0.001369393,0.2556089,0.0002785173,0.0003894723,0.0004069803,0.00008116652,0.00001604468,0.001678489],"genre_scores_gemma":[0.8724632,0.0005776199,0.1232552,0.0001479216,0.0003003709,0.00005791368,0.0000266213,0.00002134542,0.003149917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5281441,"threshold_uncertainty_score":0.2630657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007840168879948492,"score_gpt":0.2099499371723204,"score_spread":0.2021097682923719,"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."}}