{"id":"W3191637662","doi":"","title":"Measuring technical efficiency in Zimbabwe's manufacturing sector: a two-stage DEA Tobit approach","year":2021,"lang":"en","type":"dissertation","venue":"Open University of Cape Town (University of Cape Town)","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Queen's University; United Nations Development Programme","keywords":"Tobit model; Stage (stratigraphy); Manufacturing sector; Economics; Business; Manufacturing engineering; Operations management; Industrial organization; Engineering; Econometrics; Labour economics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.002156555,0.0008910631,0.0008446162,0.001960184,0.0007321415,0.00302978,0.0008076652,0.0009770474,0.002532075],"category_scores_gemma":[0.007332216,0.000782319,0.001042625,0.004057724,0.0005179091,0.001057141,0.00140084,0.001178493,0.0004719513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00210959,"about_ca_system_score_gemma":0.001262268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02716579,"about_ca_topic_score_gemma":0.02159141,"domain_scores_codex":[0.9982206,0.001057474,0.0001169596,0.0001855961,0.0002069604,0.0002123279],"domain_scores_gemma":[0.9979018,0.001311033,0.0003620879,0.0001287171,0.0002494867,0.00004682533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005173263,0.0007678117,0.5414917,0.001051946,0.001937395,0.0006758561,0.003219734,0.304701,0.004451036,0.03166746,0.003604193,0.1059145],"study_design_scores_gemma":[0.0001059028,0.0006588836,0.4266245,0.0004313175,0.0005050692,0.0001758791,0.004671723,0.5372434,0.002658735,0.01175538,0.01504722,0.0001221126],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9188417,0.001317731,0.06599729,0.001047966,0.0000434283,0.0004635869,0.003386159,0.0001343537,0.008767902],"genre_scores_gemma":[0.9764922,0.0007379033,0.01759775,0.00006846181,0.00001096022,0.0004077344,0.002064918,0.00001660685,0.002603567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02716579,"threshold_uncertainty_score":0.05401534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04181181844919604,"score_gpt":0.2051905752239778,"score_spread":0.1633787567747818,"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."}}