{"id":"W2603224975","doi":"10.5539/ijef.v9n4p172","title":"Measuring the Efficiency of Health Services Areas in Kingdom of Saudi Arabia Using Data Envelopment Analysis (DEA): A Comparative Study between the Years 2014 and 2006","year":2017,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Data envelopment analysis; Productivity; Government (linguistics); Business; Efficiency; Production (economics); Geography; Operations management; Economic growth; Economics; Statistics; Mathematics","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":[0.001836849,0.0002720319,0.0002926585,0.001670597,0.0001983999,0.0009720247,0.0002423721,0.0002569104,0.000480471],"category_scores_gemma":[0.004256491,0.0001347502,0.0005903164,0.003369266,0.0002069054,0.0007458288,0.0004638585,0.0002151742,0.0001130337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003003592,"about_ca_system_score_gemma":0.001093687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04971266,"about_ca_topic_score_gemma":0.03243966,"domain_scores_codex":[0.999065,0.0002119927,0.0001633948,0.00008554358,0.0003288914,0.0001451683],"domain_scores_gemma":[0.9967835,0.0009377259,0.0008695122,0.0001339093,0.001166074,0.0001092564],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004509516,0.0001393544,0.8667513,0.0005175674,0.0004705778,0.0004785634,0.002274219,0.03662168,0.002078953,0.003437609,0.001291987,0.08548737],"study_design_scores_gemma":[0.000006892061,0.000172051,0.9724897,0.0001188781,0.00008968361,0.0002925594,0.003056522,0.01549801,0.00181671,0.0002230817,0.006209733,0.00002618653],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956235,0.001156701,0.0009815791,0.0001076189,0.000006039178,0.00001103726,0.0007830239,0.000005536933,0.001324908],"genre_scores_gemma":[0.9977311,0.0005633603,0.0006775543,0.00001198817,0.000003207366,0.000005492217,0.0007328492,0.000002050143,0.0002723326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04971266,"threshold_uncertainty_score":0.09884661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2115914064398121,"score_gpt":0.4073665663847875,"score_spread":0.1957751599449754,"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."}}