{"id":"W2072161633","doi":"10.1016/j.jspi.2009.07.011","title":"Robust empirical Bayes tests for continuous distributions","year":2009,"lang":"en","type":"article","venue":"Journal of Statistical Planning and Inference","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Mathematics; Bayes' theorem; Statistics; Econometrics; Bayes factor; Bayesian probability; Applied mathematics","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0004378836,0.000124591,0.0004002872,0.00004470632,0.000118799,0.00005198858,0.00008517164,0.00006554813,0.00001513538],"category_scores_gemma":[0.01180296,0.00009182483,0.00004329268,0.00005599005,0.000100171,0.00011619,0.00001387098,0.0002545038,4.889143e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002078149,"about_ca_system_score_gemma":0.00005373089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":5.219783e-7,"about_ca_topic_score_gemma":2.341829e-7,"domain_scores_codex":[0.9988976,0.00005580349,0.000509446,0.0001324215,0.0001711286,0.0002335769],"domain_scores_gemma":[0.9927063,0.006520992,0.0002169404,0.00007430503,0.0002664364,0.0002150433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000181828,0.0002493184,0.001175863,0.00005973878,0.00002864716,0.00007298115,0.0002177384,0.00009829139,0.000207188,0.9260149,0.01055336,0.06114013],"study_design_scores_gemma":[0.0006080789,0.001067528,0.00767794,0.0001667534,0.00007158839,0.00008548466,0.00007009206,0.005933232,0.00004316025,0.9831612,0.0009780173,0.0001369152],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006291099,0.0001283748,0.9924225,0.0004317564,0.00006795001,0.00008707804,0.0002781675,0.00001459266,0.0002785311],"genre_scores_gemma":[0.3995878,0.00001006085,0.6002165,0.00008590172,0.00006628342,0.000001502458,0.000004872519,0.000004432055,0.00002258011],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3932967,"threshold_uncertainty_score":0.9965211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2635889302707344,"score_gpt":0.4968692271962566,"score_spread":0.2332802969255222,"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."}}