{"id":"W3047070917","doi":"10.5539/ijef.v12n9p35","title":"Technical Inefficiency of District Hospitals in Côte d'Ivoire: Measurement, Causes and Consequences","year":2020,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Inefficiency; Data envelopment analysis; Health care; Per capita; Business; Economic growth; Economics; Public economics; Environmental health; Medicine; Population; Statistics","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":[0.003789293,0.000449324,0.000490547,0.003154458,0.0007485742,0.002166569,0.0007594614,0.0005068361,0.00196074],"category_scores_gemma":[0.01307279,0.0003945062,0.000364317,0.006181452,0.001669078,0.0007546415,0.002247655,0.0006131653,0.000185924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007824243,"about_ca_system_score_gemma":0.004381141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06895012,"about_ca_topic_score_gemma":0.08041881,"domain_scores_codex":[0.9950926,0.001632991,0.0005336624,0.0004905976,0.001215523,0.001034557],"domain_scores_gemma":[0.9780164,0.005874617,0.01002829,0.001072364,0.003590125,0.001418211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006192577,0.00004321545,0.9840517,0.0001041386,0.00005960645,0.0003620781,0.0009029381,0.002662686,0.0004439499,0.001439198,0.0003426536,0.009525964],"study_design_scores_gemma":[0.000002942059,0.00005830254,0.995349,0.00004744196,0.00001400329,0.0001454887,0.001936457,0.001083178,0.000196864,0.0002428696,0.0009125171,0.00001092867],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996015,0.0004506304,0.0006616644,0.0003720808,0.000005374293,0.0000362497,0.0005831421,0.000009885498,0.001865863],"genre_scores_gemma":[0.9987584,0.0001524216,0.0003850573,0.00003408808,0.000004338888,0.00001651274,0.0002450135,0.000003233493,0.0004010155],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06895012,"threshold_uncertainty_score":0.1370975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.100008517807286,"score_gpt":0.3376083612581892,"score_spread":0.2375998434509032,"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."}}