{"id":"W2993086805","doi":"10.3390/jrfm12040183","title":"Robust Bayesian Inference in Stochastic Frontier Models","year":2019,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Overfitting; Inference; Robustness (evolution); Bayesian probability; Bayesian inference; Computer science; Econometrics; Algorithm; Mathematics; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003012351,0.0001122808,0.0003880703,0.0008345144,0.00006558596,0.0001421357,0.000466335,0.00005119425,0.00005972957],"category_scores_gemma":[0.0008247618,0.00008086931,0.0001138565,0.0008124967,0.00004567371,0.0004186502,0.0001358766,0.0002416944,0.00003523348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004189948,"about_ca_system_score_gemma":0.00004225058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003363354,"about_ca_topic_score_gemma":0.00007298953,"domain_scores_codex":[0.9976946,0.0001155939,0.0008038331,0.0002466385,0.0009409063,0.0001985014],"domain_scores_gemma":[0.9985903,0.0003761818,0.0005269331,0.0002669567,0.0001685947,0.00007106644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007508661,0.00009261674,0.02608913,0.000004855641,0.000009241699,0.00004073228,0.000731139,0.8017664,0.000002271623,0.007353929,0.000429661,0.163405],"study_design_scores_gemma":[0.001669661,0.0002583428,0.2035876,0.0001944832,0.0001168936,0.000008493939,0.001317305,0.5056311,0.000002666359,0.2815643,0.005328683,0.0003205154],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.276306,0.0003447422,0.7219111,0.00007369483,0.0003386161,0.00008223204,0.000001690398,0.0000023139,0.0009396169],"genre_scores_gemma":[0.9947542,0.0001944454,0.004560281,0.0000732037,0.00005177074,8.48506e-7,1.344546e-7,0.00000463213,0.0003605104],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7184482,"threshold_uncertainty_score":0.3297755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03598880409873559,"score_gpt":0.2909179721820879,"score_spread":0.2549291680833523,"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."}}