{"id":"W4390883198","doi":"10.1093/bib/bbad509","title":"Genotype imputation accuracy and the quality metrics of the minor ancestry in multi-ancestry reference panels","year":2023,"lang":"en","type":"article","venue":"Briefings in Bioinformatics","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Institute of Genetics","funders":"Alliance de recherche numérique du Canada; Ministry of Education, Culture, Sports, Science and Technology; University of Tokyo; Japan Agency for Medical Research and Development","keywords":"Imputation (statistics); Statistics; Econometrics; Standard deviation; Mathematics; Biology; Computer science; Missing data","routes":{"ca_aff":true,"ca_fund":true,"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":[0.03878583,0.0006971535,0.001396835,0.001387269,0.0009702224,0.003072789,0.001726526,0.001253642,0.001675484],"category_scores_gemma":[0.1158377,0.0006282979,0.001834642,0.002514345,0.001540594,0.002042668,0.00161143,0.002276443,0.0004503132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001164905,"about_ca_system_score_gemma":0.001049807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006971942,"about_ca_topic_score_gemma":0.004092658,"domain_scores_codex":[0.982581,0.01072536,0.001263259,0.003541179,0.001312884,0.0005763267],"domain_scores_gemma":[0.9359394,0.04333301,0.004888217,0.0105192,0.004877616,0.0004424998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001812968,0.0001221578,0.3413071,0.0005436811,0.002511974,0.000922912,0.002190678,0.4311939,0.01225686,0.03503692,0.004844096,0.1672568],"study_design_scores_gemma":[0.0001838701,0.0003034575,0.1034705,0.000310547,0.001165674,0.0007820394,0.0002731984,0.8156187,0.01279625,0.0582817,0.006550077,0.0002641216],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3601705,0.00268341,0.6304017,0.00111257,0.0001470618,0.0001536833,0.002071053,0.001030121,0.002229902],"genre_scores_gemma":[0.9173989,0.0004065016,0.07836665,0.0002642009,0.00003612222,0.0001726078,0.002622491,0.0002096101,0.0005229756],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03878583,"threshold_uncertainty_score":0.2051215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09631303735923048,"score_gpt":0.3610884832077939,"score_spread":0.2647754458485634,"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."}}