{"id":"W2169184043","doi":"10.1093/aje/kwp243","title":"Impact of Genotype Misclassification on Genetic Association Estimates and the Bayesian Adjustment","year":2009,"lang":"en","type":"article","venue":"American Journal of Epidemiology","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency","funders":"National Cancer Institute; University of British Columbia; Michael Smith Health Research BC; Canadian Institutes of Health Research; Canada's Michael Smith Genome Sciences Centre","keywords":"Bayesian probability; Population stratification; Statistics; Genotype; Computer science; Genetic association; Population; Gold standard (test); Missing data; Genotyping; Bayes' theorem; Data mining; Econometrics; Single-nucleotide polymorphism; Medicine; Biology; Mathematics; Genetics; Gene","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0616956,0.001432123,0.001773453,0.0018957,0.001314502,0.002581496,0.003016904,0.003608378,0.003063798],"category_scores_gemma":[0.3222257,0.001105733,0.002431808,0.002569354,0.003039744,0.002693933,0.003443645,0.00384417,0.0007526237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002329545,"about_ca_system_score_gemma":0.00225742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009954664,"about_ca_topic_score_gemma":0.008725202,"domain_scores_codex":[0.9192904,0.06572486,0.003040998,0.00429377,0.006899242,0.0007507717],"domain_scores_gemma":[0.779873,0.1914205,0.009083035,0.01226516,0.006840306,0.0005178942],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008967786,0.0001492722,0.0382877,0.0006812209,0.001947711,0.0005673598,0.001345843,0.2465383,0.002121503,0.1987187,0.008481012,0.5002646],"study_design_scores_gemma":[0.0003975389,0.00026299,0.02137757,0.0004512708,0.0009727382,0.001237984,0.0002063364,0.7093681,0.002647529,0.2509809,0.01178423,0.0003128783],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01275532,0.001250044,0.9808285,0.002328343,0.0001843608,0.0001525498,0.000110836,0.0002071364,0.002182863],"genre_scores_gemma":[0.381963,0.001703577,0.6080719,0.002070155,0.0004352231,0.0006944268,0.0003626687,0.000295074,0.004404074],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9383044,"threshold_uncertainty_score":0.3262814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01368331297148103,"score_gpt":0.3126223186811203,"score_spread":0.2989390057096393,"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."}}