{"id":"W4200392498","doi":"10.1111/itor.13099","title":"Performance evaluation of emergency department physicians using robust value‐based additive efficiency model","year":2021,"lang":"en","type":"article","venue":"International Transactions in Operational Research","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Children's Hospital of Eastern Ontario; Wilfrid Laurier University; University of Ottawa; Élisabeth Bruyère Hospital","funders":"Fundação para a Ciência e a Tecnologia; Ministerstwo Edukacji i Nauki; Narodowe Centrum Nauki","keywords":"Emergency department; Computer science; Robustness (evolution); Complaint; Monte Carlo method; Medicine; Operations research; Mathematics; Nursing; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01004135,0.0001491399,0.0002380134,0.001240083,0.0004391994,0.0001378623,0.0007514755,0.00008724735,0.004486454],"category_scores_gemma":[0.002687682,0.0001454928,0.0001983292,0.003161788,0.0001890717,0.000679068,0.00003918495,0.000392639,0.00005867575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007980904,"about_ca_system_score_gemma":0.002491375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007411257,"about_ca_topic_score_gemma":0.000291065,"domain_scores_codex":[0.9889668,0.001088519,0.001074908,0.0006946801,0.007841425,0.0003336213],"domain_scores_gemma":[0.9884765,0.001007667,0.0001608363,0.0004573368,0.009836271,0.00006136137],"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":[0.00003381433,0.0007243712,0.001080454,0.000002643917,0.00003523947,0.000002057482,0.0003128882,0.982806,0.004249305,0.001240162,0.00008363245,0.009429415],"study_design_scores_gemma":[0.0004874101,0.00003293049,0.003957079,0.00005358827,0.00002595559,0.000003098052,0.0004483951,0.9826427,0.01053145,0.001521049,0.0001678668,0.000128479],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6388962,0.00007548616,0.3518868,0.001169476,0.0005232609,0.0002880728,0.0001577925,0.000009508855,0.006993368],"genre_scores_gemma":[0.989651,0.00004695687,0.008989841,0.00004991792,0.00007284389,0.00009111786,0.00008577742,0.00001347118,0.0009990731],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3507548,"threshold_uncertainty_score":0.9964236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3882811532725066,"score_gpt":0.5227662734638722,"score_spread":0.1344851201913656,"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."}}