{"id":"W4207037095","doi":"10.1186/s12859-022-04568-3","title":"Iam hiQ—a novel pair of accuracy indices for imputed genotypes","year":2022,"lang":"en","type":"article","venue":"BMC Bioinformatics","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency; Princess Margaret Cancer Centre; Sinai Health System; Lunenfeld-Tanenbaum Research Institute; Public Health Ontario; University of Toronto","funders":"University of Texas MD Anderson Cancer Center; National Institutes of Health; Deutsches Zentrum für Lungenforschung; Clalit Health Services; Radboud Universitair Medisch Centrum; Universität Salzburg; Umeå Universitet; Markey Cancer Center, University of Kentucky; Georg-August-Universität Göttingen; Lunds Universitet; Skånes universitetssjukhus; Radboud Universiteit; Newcastle University; National Cancer Institute; Universität Heidelberg; University of Liverpool; Vanderbilt University Medical Center; Huntsman Cancer Institute; Universidad de Oviedo; BC Cancer Agency; Vanderbilt University; Moffitt Cancer Center; Dartmouth College; Washington State University; Fred Hutchinson Cancer Research Center; World Health Organization","keywords":"Imputation (statistics); Computer science; Data mining; Software; Computational biology; Machine learning; Biology; 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":[0.0246183,0.001712876,0.002335319,0.009583338,0.0009773802,0.005314038,0.004052397,0.003051491,0.003175284],"category_scores_gemma":[0.1254405,0.0008824866,0.002454125,0.006830425,0.001607865,0.004179094,0.003671115,0.004306027,0.001653107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002008973,"about_ca_system_score_gemma":0.00154674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001811871,"about_ca_topic_score_gemma":0.001514335,"domain_scores_codex":[0.9822848,0.007440592,0.001536345,0.002739748,0.005300368,0.0006980799],"domain_scores_gemma":[0.8973329,0.06861474,0.0115695,0.01141286,0.00973226,0.001337748],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001575517,0.0004171289,0.3501575,0.0009500027,0.002727874,0.0003292311,0.0008144804,0.06225213,0.006696006,0.0259489,0.02500287,0.5231283],"study_design_scores_gemma":[0.0002894083,0.001023342,0.1452424,0.0005314532,0.0008108566,0.001937262,0.0003655046,0.7412362,0.01312943,0.07034294,0.02445885,0.0006323332],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03469064,0.001769952,0.9515046,0.0007807203,0.0002497754,0.0002824074,0.003626251,0.004581037,0.002514645],"genre_scores_gemma":[0.3340577,0.0004378032,0.6540514,0.0008619508,0.0004964254,0.00101585,0.006060794,0.001640573,0.001377595],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0246183,"threshold_uncertainty_score":0.1301956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02559083988001442,"score_gpt":0.2752904179259309,"score_spread":0.2496995780459165,"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."}}