{"id":"W4416458995","doi":"10.6000/1929-6029.2025.14.62","title":"Robustness of Bayesian Methods in Healthcare System Assessment: A Comprehensive Review","year":2025,"lang":"en","type":"review","venue":"International Journal of Statistics in Medical Research","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Frequentist inference; Robustness (evolution); Bayesian probability; Pooling; Health care; Bayesian inference; Probabilistic logic; Inference","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.05305171,0.001829375,0.003723339,0.007958595,0.0007466502,0.004389766,0.003121182,0.003584551,0.004300862],"category_scores_gemma":[0.1621789,0.001448635,0.0039307,0.007722436,0.003356121,0.00433388,0.002374573,0.004040992,0.0009451503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004421597,"about_ca_system_score_gemma":0.01062289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009967822,"about_ca_topic_score_gemma":0.008203018,"domain_scores_codex":[0.9717523,0.01772216,0.003215157,0.001715312,0.005278865,0.0003161601],"domain_scores_gemma":[0.7241529,0.2567398,0.006227668,0.00264289,0.009623733,0.0006129629],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001278785,0.00004844187,0.001733848,0.04806994,0.001698393,0.00007491748,0.0003958835,0.009650621,0.0001099695,0.05341784,0.01173583,0.8729364],"study_design_scores_gemma":[0.0001688358,0.0003671143,0.006535445,0.2325503,0.005538809,0.001176978,0.0005489542,0.02018249,0.001116545,0.2579217,0.4734248,0.0004680232],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000254742,0.97781,0.01635237,0.00369725,0.0002633699,0.00005499871,0.00009141087,0.00003563807,0.001440325],"genre_scores_gemma":[0.01170277,0.9737516,0.01231151,0.0010584,0.0007158747,0.0001686411,0.00009649894,0.00003692716,0.0001577541],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9469483,"threshold_uncertainty_score":0.2805676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6210497877290394,"score_gpt":0.6963659807216337,"score_spread":0.07531619299259429,"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."}}