{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001521923,0.00120499,0.001179258,0.00147739,0.0004210327,0.001780417,0.001236746,0.0009678174,0.05069419],"category_scores_gemma":[0.003009229,0.0005626249,0.001042713,0.002286047,0.0002389184,0.0012574,0.00133887,0.001039451,0.04590233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000403856,"about_ca_system_score_gemma":0.0005428722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001315998,"about_ca_topic_score_gemma":0.001218721,"domain_scores_codex":[0.9993494,0.0001141879,0.00003094848,0.0002522413,0.0001938882,0.00005926755],"domain_scores_gemma":[0.9986352,0.0003598515,0.0001458446,0.0005024722,0.0002429848,0.0001136709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0007014402,0.0003148029,0.01246597,0.0008903369,0.0002517609,0.0005081812,0.0003516763,0.00551672,0.09639847,0.01520432,0.3096082,0.5577882],"study_design_scores_gemma":[0.0002420911,0.0003080526,0.04398968,0.0003101023,0.0002486411,0.001131297,0.0002058082,0.04551201,0.05552768,0.05401737,0.7983007,0.0002065067],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02179272,0.001990263,0.5592074,0.003061758,0.00125647,0.0004352571,0.2479233,0.1059272,0.05840581],"genre_scores_gemma":[0.1564039,0.002399385,0.3973969,0.002771212,0.0009428448,0.001255672,0.3629223,0.01677349,0.05913435],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05069419,"threshold_uncertainty_score":0.169589,"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."}}