{"id":"W2244222967","doi":"","title":"Measuring efficiency of Tunisian schools in the presence of quasi-fixed inputs: A bootstrap data envelopment analysis approach","year":2007,"lang":"en","type":"preprint","venue":"Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Data envelopment analysis; Measure (data warehouse); Econometrics; Homogeneous; Construct (python library); Statistics; Confidence interval; Computer science; Mathematics; Efficiency; Sampling (signal processing); Data mining; Estimator","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006282351,0.0004151683,0.0008313064,0.00174862,0.0003299001,0.001296589,0.0007100026,0.0007037045,0.0009550269],"category_scores_gemma":[0.02576936,0.0002116245,0.0007653109,0.002867883,0.0008584069,0.00101729,0.0009774505,0.0005776208,0.0001093884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002484122,"about_ca_system_score_gemma":0.001157328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0104535,"about_ca_topic_score_gemma":0.004399975,"domain_scores_codex":[0.995133,0.00342648,0.0002133252,0.0003482132,0.0006114069,0.0002675455],"domain_scores_gemma":[0.9870887,0.009202195,0.001673181,0.001163542,0.0007853768,0.00008707064],"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":[0.0002504163,0.0002368575,0.119116,0.0002263596,0.0005739979,0.0002302635,0.0004787065,0.7578802,0.00240209,0.06001147,0.0005215722,0.05807216],"study_design_scores_gemma":[0.00004044576,0.0002287618,0.1018345,0.0000942753,0.0001061288,0.00006831974,0.0005529952,0.8598293,0.004541715,0.03080309,0.001856198,0.0000442597],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7957962,0.0004515751,0.1998046,0.0004293479,0.0000112804,0.0000832868,0.0006980412,0.00005588594,0.002669721],"genre_scores_gemma":[0.9835436,0.0000914179,0.01593479,0.00001645121,0.00000477083,0.00006137766,0.000196249,0.000006152595,0.0001451252],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0104535,"threshold_uncertainty_score":0.03322458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2054481501799068,"score_gpt":0.3412180555727011,"score_spread":0.1357699053927943,"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."}}