{"id":"W2984397937","doi":"10.26794/1999-849x-2019-12-5-101-110","title":"Cross-Country Analysis of Energy Subsidies Efficiency","year":2019,"lang":"en","type":"article","venue":"Economics taxes & law","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subsidy; Energy subsidies; Fossil fuel; Economics; Renewable energy; Data envelopment analysis; Natural resource economics; Energy policy; Business; Market economy; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002555392,0.0002267446,0.0009747557,0.0009974523,0.0001741022,0.0004371837,0.001459397,0.0001317158,0.002070636],"category_scores_gemma":[0.000368466,0.0001935652,0.000629572,0.002613318,0.0005314955,0.0005031276,0.0002389268,0.00008799246,0.0004145705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000816807,"about_ca_system_score_gemma":0.00009408271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001229968,"about_ca_topic_score_gemma":0.005280382,"domain_scores_codex":[0.9967111,0.0001083182,0.001370025,0.0008688311,0.0005430405,0.0003987117],"domain_scores_gemma":[0.9958196,0.001314996,0.000865126,0.001579485,0.0003235893,0.00009725717],"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":[0.00003248422,0.0001383567,0.2230636,0.00000430957,0.0006738661,0.000001705827,0.0002615447,0.3245445,0.0006720754,0.4494927,0.0002399358,0.000874911],"study_design_scores_gemma":[0.001160059,0.0002641166,0.1056577,0.00002506466,0.001681385,0.00000631561,0.0008784246,0.604019,0.0167564,0.04477913,0.2232093,0.001563086],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9452796,0.0002991187,0.001135331,0.00008494619,0.0004759917,0.00005445194,0.0001412521,0.00002616555,0.05250317],"genre_scores_gemma":[0.9941502,0.00004231002,0.0002136033,0.0004120696,0.00004415368,0.000003093113,0.0000203013,0.00001520461,0.00509902],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4047136,"threshold_uncertainty_score":0.9988416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02635740362689323,"score_gpt":0.3210056747850768,"score_spread":0.2946482711581836,"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."}}