{"id":"W2166894188","doi":"10.1016/j.ajhg.2015.09.005","title":"Imputation of KIR Types from SNP Variation Data","year":2015,"lang":"en","type":"article","venue":"The American Journal of Human Genetics","topic":"Immune Cell Function and Interaction","field":"Immunology and Microbiology","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University and Génome Québec Innovation Centre","funders":"Cambridge Institute for Medical Research, University of Cambridge; Wellcome Trust","keywords":"Human leukocyte antigen; Imputation (statistics); Biology; SNP; Population; Genetics; Genome-wide association study; Immunology; Computational biology; Typing; Single-nucleotide polymorphism; Gene; Antigen; Genotype; Medicine; Missing data; Computer science","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":[0.01255565,0.001073251,0.002346231,0.002922578,0.001084651,0.002375271,0.002544184,0.001745331,0.004607577],"category_scores_gemma":[0.03025936,0.0009967919,0.002420094,0.005425342,0.0005432247,0.0009930161,0.002075599,0.003247457,0.002270806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005236212,"about_ca_system_score_gemma":0.001621706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003883914,"about_ca_topic_score_gemma":0.004696749,"domain_scores_codex":[0.9944602,0.002403282,0.0005285037,0.001428222,0.0007252574,0.0004545109],"domain_scores_gemma":[0.9861908,0.006737506,0.001039501,0.004477865,0.001224621,0.0003296636],"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":[0.003230034,0.0006579056,0.3759193,0.0007229499,0.006323141,0.0020139,0.0005756569,0.1782164,0.01248619,0.01475126,0.04958465,0.3555188],"study_design_scores_gemma":[0.0009142465,0.0004598962,0.1177318,0.000208669,0.00156634,0.001772606,0.0002571066,0.7645267,0.01046405,0.06618316,0.03565527,0.0002603177],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2069773,0.001441938,0.7380353,0.0007146971,0.0004449393,0.0005032876,0.04570739,0.003168276,0.003006893],"genre_scores_gemma":[0.4686557,0.0007284974,0.4268325,0.000617212,0.0002635863,0.0009576849,0.09768923,0.0007301256,0.003525482],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01255565,"threshold_uncertainty_score":0.06640136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0508731411487762,"score_gpt":0.3051186871401952,"score_spread":0.254245545991419,"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."}}