{"id":"W3198776558","doi":"10.3390/jrfm14090407","title":"The Turkish Cypriot Municipalities’ Productivity and Performance: An Application of Data Envelopment Analysis and the Tobit Model","year":2021,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tobit model; Data envelopment analysis; Productivity; Revenue; Sustainability; Population; Per capita; Business; Economics; Public sector; Environmental economics; Public economics; Economic growth; Econometrics; Economy; Finance","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009504376,0.00009501129,0.0003546704,0.0002088654,0.0004933416,0.0002324943,0.0006271626,0.00002859112,0.000001819844],"category_scores_gemma":[0.0006458501,0.000049003,0.00006959357,0.0009920639,0.0003407796,0.0004041541,0.0005981789,0.0001560474,2.631745e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001506339,"about_ca_system_score_gemma":0.00005690342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008109799,"about_ca_topic_score_gemma":0.0005751074,"domain_scores_codex":[0.9977858,0.000273897,0.0006889487,0.0003193929,0.0008052643,0.0001266834],"domain_scores_gemma":[0.9977099,0.0004031339,0.0006784582,0.0008517787,0.0003070323,0.00004975458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001864913,0.00008475697,0.03173084,0.0000125141,0.0001637983,0.000002682464,0.002849132,0.00564139,0.00001149664,0.005445439,0.00009597176,0.9537755],"study_design_scores_gemma":[0.0009032771,0.00007284484,0.5012234,0.00001938544,0.001573455,0.00001319104,0.003730525,0.4585701,0.0000735588,0.01722343,0.016446,0.0001508352],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9025789,0.001818785,0.09472531,0.0005751263,0.00004854139,0.0001117117,0.00001335059,0.000001780237,0.0001264643],"genre_scores_gemma":[0.98975,0.007038273,0.002956638,0.00003982106,0.00004638595,0.000002712057,0.000002312697,0.000002728401,0.0001611218],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9536247,"threshold_uncertainty_score":0.3794435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04347790170032702,"score_gpt":0.3250109235364341,"score_spread":0.2815330218361071,"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."}}