{"id":"W1998343736","doi":"10.1002/cjs.5550350107","title":"Multiple testing using the posterior probabilities of directional alternatives, with application to genomic studies","year":2007,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Université Laval","funders":"","keywords":"Frequentist inference; Posterior probability; Bayesian probability; Null hypothesis; Context (archaeology); Null (SQL); Multiple comparisons problem; p-value; False discovery rate; Statistical hypothesis testing; Mathematics; Statistics; Value (mathematics); Computer science; Econometrics; Bayesian inference; Data mining; Biology; Genetics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.002835957,0.000122019,0.0004061642,0.0001425543,0.0001413999,0.00002413976,0.0002145961,0.00003669223,0.00001246678],"category_scores_gemma":[0.06713244,0.00008147461,0.00003509061,0.0002239651,0.0003746842,0.00003978396,0.00002116787,0.0001907552,7.527742e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002895857,"about_ca_system_score_gemma":0.0006130377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008904338,"about_ca_topic_score_gemma":0.008734569,"domain_scores_codex":[0.9982297,0.000174087,0.0009658406,0.0001195195,0.0002695195,0.0002413628],"domain_scores_gemma":[0.9642471,0.03324254,0.0007420007,0.0001682444,0.001314838,0.000285258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001842979,0.0003804227,0.2604311,0.002204391,0.002961069,0.0005864058,0.02474357,0.007266443,0.02962155,0.3289058,0.003453259,0.337603],"study_design_scores_gemma":[0.001297898,0.001139352,0.04737543,0.0008215557,0.0004532532,0.0004291684,0.005036732,0.001703765,0.00333917,0.9372785,0.0007108818,0.0004142883],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2288323,0.00008837954,0.7700109,0.00009372705,0.0002555972,0.0003207412,0.000337319,0.000003578005,0.00005743921],"genre_scores_gemma":[0.2457511,0.000002208723,0.7539647,0.00005652733,0.000189512,0.000002874657,3.211558e-7,0.00001713628,0.0000156489],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6083727,"threshold_uncertainty_score":0.9407255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5349307423524098,"score_gpt":0.506746123292269,"score_spread":0.0281846190601408,"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."}}