{"id":"W2735338994","doi":"10.1017/s1751731117001653","title":"Imputation of non-genotyped sheep from the genotypes of their mates and resulting progeny","year":2017,"lang":"en","type":"article","venue":"animal","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Imputation (statistics); Genotype; Biology; Sire; Genotyping; Population; Genetics; Single-nucleotide polymorphism; Animal science; Statistics; Gene; Demography; Missing data; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009383501,0.00007191052,0.000090834,0.000005590378,0.0001087295,0.00001429996,0.0001939777,0.00006343127,0.000005206829],"category_scores_gemma":[0.00006327405,0.0000492349,0.00003050149,0.00001004554,0.0001520251,0.000002726915,0.00011021,0.00003338221,8.438594e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":9.927357e-7,"about_ca_system_score_gemma":0.00002559845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001651246,"about_ca_topic_score_gemma":0.00003439949,"domain_scores_codex":[0.999569,0.00001940159,0.000135914,0.0001407412,0.00005052532,0.00008439433],"domain_scores_gemma":[0.9994704,0.00002342647,0.0001601497,0.0002729804,0.00005457998,0.00001845415],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001557674,0.00001887116,0.04080906,0.00001391322,0.00005714752,8.110214e-8,0.0006097856,0.00001623748,0.9497232,0.0004255958,0.00006427814,0.008106062],"study_design_scores_gemma":[0.00019035,0.0002124508,0.7025126,0.000009214697,0.00001555505,8.075802e-7,0.0001166988,0.00004479279,0.2958892,0.0008224891,0.000139115,0.00004670693],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979108,0.0007303478,0.0004988232,0.00006489509,0.00003958385,0.000110408,0.00005119069,0.000002107324,0.0005918504],"genre_scores_gemma":[0.9916526,0.00002805075,0.008118161,0.00002197685,0.000118448,0.000003356528,0.00002274024,0.000008166081,0.00002647476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6617036,"threshold_uncertainty_score":0.2007741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01160251766330706,"score_gpt":0.2508873853372512,"score_spread":0.2392848676739441,"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."}}