{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0129308,0.001006561,0.002767154,0.0009863446,0.0005254509,0.001329221,0.001627589,0.0009756042,0.001743331],"category_scores_gemma":[0.02606666,0.0006349531,0.001758944,0.001593521,0.0004265839,0.0005839432,0.001106382,0.001736878,0.001177888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003172692,"about_ca_system_score_gemma":0.0007323425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001845143,"about_ca_topic_score_gemma":0.002952707,"domain_scores_codex":[0.99269,0.003808063,0.0006264104,0.001519453,0.001061312,0.0002947766],"domain_scores_gemma":[0.9724008,0.01391892,0.002341937,0.009202159,0.001870198,0.000265921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00503211,0.0007549378,0.4600318,0.0007839327,0.003861146,0.003720854,0.00150176,0.1362251,0.06312148,0.005833287,0.004032631,0.315101],"study_design_scores_gemma":[0.0002355959,0.001585666,0.4982539,0.0003135542,0.002281831,0.004126121,0.0005442236,0.4034948,0.05461593,0.02003987,0.01420692,0.0003015542],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4969569,0.001180002,0.4958491,0.0001889419,0.0001430336,0.0001351056,0.003617328,0.0006539408,0.001275718],"genre_scores_gemma":[0.8160681,0.0004933766,0.1680256,0.0001759324,0.00004296842,0.0001970059,0.01224667,0.0002303302,0.002519934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0129308,"threshold_uncertainty_score":0.06838542,"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."}}