{"id":"W2140874657","doi":"10.1038/gene.2011.8","title":"Fine mapping the TAGAP risk locus in rheumatoid arthritis","year":2011,"lang":"en","type":"article","venue":"Genes and Immunity","topic":"Chronic Lymphocytic Leukemia Research","field":"Medicine","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network; Mount Sinai Hospital","funders":"National Institute of Arthritis and Musculoskeletal and Skin Diseases; National Institutes of Health; Versus Arthritis; National Institute of General Medical Sciences; U.S. Public Health Service; Burroughs Wellcome Fund","keywords":"Single-nucleotide polymorphism; Imputation (statistics); Genome-wide association study; International HapMap Project; Biology; Locus (genetics); SNP; Genetics; Genetic association; Linkage disequilibrium; Haplotype; Allele; Odds ratio; Population stratification; Minor allele frequency; Allele frequency; Population; 1000 Genomes Project; Rheumatoid arthritis; Internal medicine; Genotype; Gene; Medicine; Immunology; Statistics; Missing data; Environmental health","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005784171,0.00009383191,0.0001841806,0.00006608221,0.0001575322,0.00001461193,0.0001206644,0.00005898449,0.0002620766],"category_scores_gemma":[0.0001381102,0.00006240191,0.00003916619,0.0001855401,0.0001681058,0.00004473096,0.0001727869,0.0002990086,0.00003896296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004364586,"about_ca_system_score_gemma":0.0005369166,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01937993,"about_ca_topic_score_gemma":0.0009736739,"domain_scores_codex":[0.9991601,0.0001173905,0.0001934498,0.0001288789,0.0001393301,0.0002608176],"domain_scores_gemma":[0.9993291,0.00009063645,0.00004200331,0.0004261834,0.00004303529,0.00006899505],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004246204,0.0002904201,0.08385634,0.0001651143,0.0001397608,0.0002100149,0.01127498,0.000005180681,0.004617401,0.000465425,0.0009543308,0.8975964],"study_design_scores_gemma":[0.04083911,0.000813497,0.8516288,0.001142961,0.00003848688,0.002064331,0.009178102,0.008170738,0.02551643,0.002502382,0.05745598,0.0006491805],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9760517,0.02061323,0.00006144331,0.0001090154,0.00005652179,0.0002209752,0.0000043931,0.00001820365,0.002864466],"genre_scores_gemma":[0.9775035,0.02197629,0.00017071,0.00005357526,0.00003152017,0.00001691103,0.000005240969,0.00001108977,0.000231128],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8969473,"threshold_uncertainty_score":0.9871501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05206533364500842,"score_gpt":0.2608254372490662,"score_spread":0.2087601036040578,"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."}}