{"id":"W4378835163","doi":"10.1101/2023.05.30.542466","title":"Genotype imputation accuracy and the quality metrics of the minor ancestry in multi-ancestry reference panels","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Institute of Medical Science, University of Tokyo; Ministry of Education, Culture, Sports, Science and Technology; University of Tokyo; Japan Agency for Medical Research and Development","keywords":"Imputation (statistics); Statistics; Econometrics; Mathematics; Biology; Missing data","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":[0.03713271,0.0005737596,0.001154524,0.001336846,0.0008917107,0.002437087,0.00168695,0.001170869,0.001991717],"category_scores_gemma":[0.09849758,0.0004956691,0.001423396,0.002263315,0.001222272,0.001557643,0.001288298,0.001788141,0.0004412723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001028212,"about_ca_system_score_gemma":0.000864715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007424324,"about_ca_topic_score_gemma":0.003248275,"domain_scores_codex":[0.9869581,0.008005559,0.0008610128,0.002645933,0.001062957,0.0004664276],"domain_scores_gemma":[0.9296941,0.04887639,0.004953854,0.01034794,0.005574767,0.0005529156],"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":[0.001881888,0.0001083187,0.3465583,0.000377683,0.002368016,0.0007162542,0.001035746,0.5180768,0.008235336,0.01736153,0.004347629,0.0989325],"study_design_scores_gemma":[0.0001447075,0.0002532288,0.0754512,0.0002119364,0.0008309747,0.0004789393,0.0001712442,0.8832282,0.008183916,0.027299,0.003578587,0.0001680736],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5133431,0.002517799,0.4772209,0.001037468,0.0001582632,0.0001254116,0.002650109,0.001089629,0.001857341],"genre_scores_gemma":[0.9606589,0.0002094097,0.03648558,0.0001597095,0.00002548801,0.00008975389,0.001896433,0.0001309563,0.0003437749],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.03713271,"threshold_uncertainty_score":0.1963789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09297237812727288,"score_gpt":0.3312560698218725,"score_spread":0.2382836916945996,"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."}}