{"id":"W2023223398","doi":"10.1002/gepi.21891","title":"Novel Bayes Factors That Capture Expert Uncertainty in Prior Density Specification in Genetic Association Studies","year":2015,"lang":"en","type":"article","venue":"Genetic Epidemiology","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute; Engineering and Physical Sciences Research Council; Canadian Institutes of Health Research; Cancer Research UK","keywords":"Prior probability; Bayes' theorem; Statistics; Univariate; Bayes factor; Sample size determination; Quantile; Odds ratio; Mathematics; Computer science; Econometrics; Bayesian probability; Multivariate statistics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03280884,0.00169135,0.002022827,0.00360603,0.00130555,0.002778748,0.002679342,0.00266419,0.004232496],"category_scores_gemma":[0.1702368,0.001367886,0.001904268,0.002766029,0.002278109,0.003558133,0.002042408,0.003722259,0.0008531611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001871734,"about_ca_system_score_gemma":0.002463735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01053926,"about_ca_topic_score_gemma":0.008571029,"domain_scores_codex":[0.9878277,0.008583392,0.0006909705,0.001219185,0.001406723,0.000271991],"domain_scores_gemma":[0.8894794,0.100339,0.002974876,0.003608468,0.003085221,0.0005130345],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004606407,0.0001280856,0.01809491,0.0007000837,0.000504165,0.0004141706,0.001100041,0.4362917,0.001989836,0.1891721,0.007348329,0.3437959],"study_design_scores_gemma":[0.0001541874,0.00007940755,0.003258537,0.0004211369,0.0001556117,0.0004182975,0.0001424002,0.73039,0.001069288,0.2572054,0.006578138,0.0001275674],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004972557,0.0006022709,0.9932669,0.0002181257,0.00003928984,0.00007303371,0.00008970337,0.000214554,0.0005235087],"genre_scores_gemma":[0.1717427,0.001127827,0.8238266,0.0003769647,0.0002669597,0.0006555288,0.0004890196,0.0002553908,0.001259066],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03280884,"threshold_uncertainty_score":0.1735118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1089615636447228,"score_gpt":0.342598387593294,"score_spread":0.2336368239485711,"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."}}