{"id":"W2886249948","doi":"10.3390/jrfm11030046","title":"Financial Development and Countries’ Production Efficiency: A Nonparametric Analysis","year":2018,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nonparametric statistics; Econometrics; Estimator; Production (economics); Economics; Production–possibility frontier; Order (exchange); Stochastic frontier analysis; Nonlinear system; Finance; Microeconomics; Mathematics; 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":[0.006845457,0.0003428609,0.0008782533,0.001478009,0.0002866755,0.001627147,0.000722111,0.0006379584,0.003340861],"category_scores_gemma":[0.01852123,0.000227477,0.001757477,0.002011336,0.001620786,0.001312272,0.001571669,0.001074958,0.0002675754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005184062,"about_ca_system_score_gemma":0.0006627711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004199713,"about_ca_topic_score_gemma":0.001705459,"domain_scores_codex":[0.996739,0.001751054,0.0001746271,0.0005442497,0.0004081865,0.0003829474],"domain_scores_gemma":[0.9725987,0.02080288,0.003830275,0.001798569,0.0006987529,0.0002708692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006243272,0.0002593536,0.5055133,0.0003692512,0.002248764,0.001343073,0.0006486514,0.3539878,0.002051516,0.04739786,0.002117046,0.08343909],"study_design_scores_gemma":[0.00005798316,0.0007399833,0.5727405,0.0001056063,0.0004737081,0.0004977944,0.001013498,0.3873595,0.002053463,0.02945408,0.005377821,0.0001260509],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8881258,0.001351074,0.1020559,0.0005571565,0.00002919464,0.00007278096,0.00140362,0.0001593161,0.006245086],"genre_scores_gemma":[0.9960141,0.0001639155,0.002815898,0.00002367438,0.00001498165,0.00002469915,0.0003972766,0.000009662719,0.0005358291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006845457,"threshold_uncertainty_score":0.03620267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008470260836120867,"score_gpt":0.1847318836323881,"score_spread":0.1762616227962672,"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."}}