{"id":"W2900614545","doi":"10.5267/j.msl.2018.11.005","title":"The economic and energy efficiencies of GCC states: A DEA approach","year":2018,"lang":"en","type":"article","venue":"Management Science Letters","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Energy (signal processing); Environmental economics; Business; Econometrics; Economics; Computer science; Economy; Statistics; Mathematics","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.007569483,0.000151313,0.0002113463,0.0006686195,0.001143772,0.0008129014,0.002474595,0.00001890411,0.00002249916],"category_scores_gemma":[0.000250354,0.00009087013,0.00007539061,0.002117767,0.00625286,0.0004291105,0.0007093098,0.00005467364,0.00006485984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001103719,"about_ca_system_score_gemma":0.00003029964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001306786,"about_ca_topic_score_gemma":0.0000439418,"domain_scores_codex":[0.9963124,0.000117179,0.0005814802,0.0008250359,0.001636114,0.0005278127],"domain_scores_gemma":[0.9979831,0.0004953629,0.0003205047,0.001029987,0.00008023552,0.00009082592],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001116554,0.0002590812,0.02913328,0.00003934144,0.0001956028,0.00001901284,0.008576694,0.09892795,0.01630475,0.5170046,0.06741123,0.2620168],"study_design_scores_gemma":[0.0006398299,0.0002534814,0.04230261,0.00003197817,0.0001001126,0.00001241134,0.01160235,0.7691074,0.004481461,0.01635007,0.1543623,0.0007560059],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8725346,0.00008361619,0.09976546,0.005073629,0.0004682334,0.0001303889,0.000002855847,0.0000378558,0.02190335],"genre_scores_gemma":[0.9945302,0.00002680165,0.002670142,0.001849735,0.00004493044,0.000008906354,4.010727e-7,0.000005881327,0.0008629779],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6701794,"threshold_uncertainty_score":0.9964516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02953417298706528,"score_gpt":0.2989959131971978,"score_spread":0.2694617402101325,"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."}}