{"id":"W2133790311","doi":"10.5267/j.msl.2012.03.002","title":"Measuring the relative efficiency of Ilam hospitals using data envelopment analysis","year":2012,"lang":"en","type":"article","venue":"Management Science Letters","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Data envelopment analysis; Computer science; Efficiency; Statistics; Operations research; Operations management; Business; Mathematics; Economics","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":[],"consensus_categories":[],"category_scores_codex":[0.004168886,0.0004472553,0.0006334973,0.003143058,0.0003383666,0.002185161,0.000426215,0.0005145965,0.0008707676],"category_scores_gemma":[0.01255222,0.0001710607,0.0007852498,0.004658454,0.0005055368,0.001790391,0.001184741,0.00051348,0.0001626517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001813752,"about_ca_system_score_gemma":0.001053911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002247792,"about_ca_topic_score_gemma":0.001169302,"domain_scores_codex":[0.9952248,0.002171424,0.0004931127,0.0002899719,0.001528841,0.0002919214],"domain_scores_gemma":[0.9934971,0.003967609,0.001138853,0.0005551405,0.0007660485,0.00007519181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001854495,0.0002481041,0.1168925,0.0003449904,0.0003627152,0.0001905483,0.0006159957,0.7050727,0.007990693,0.06213237,0.0006023686,0.1053616],"study_design_scores_gemma":[0.00003289885,0.0004378385,0.07969774,0.0001424587,0.000111756,0.0001294728,0.001160407,0.8660541,0.01731741,0.03100042,0.00382478,0.00009085216],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7373913,0.0004364636,0.2515296,0.0003943804,0.00001480235,0.0001251607,0.0005616915,0.00008988057,0.00945682],"genre_scores_gemma":[0.9677183,0.0001904047,0.031518,0.00001726546,0.00000442794,0.00007580344,0.0002108601,0.00000767647,0.0002572924],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004168886,"threshold_uncertainty_score":0.0220474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1514462354955748,"score_gpt":0.3683769789961429,"score_spread":0.216930743500568,"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."}}