{"id":"W1993505384","doi":"10.2202/1935-1682.2506","title":"Subsidies for the Production of Cleaner Energy: When Do They Cause Emissions to Rise?","year":2010,"lang":"en","type":"article","venue":"The B E Journal of Economic Analysis & Policy","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Subsidy; Context (archaeology); Economics; Production (economics); Energy consumption; Consumption (sociology); Cleaner production; Natural resource economics; Greenhouse gas; Efficient energy use; Renewable energy; Energy (signal processing); Microeconomics; Market economy; Waste management","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006762777,0.000151327,0.0003610922,0.0004053431,0.0002164488,0.00002540916,0.0004561578,0.00005868184,0.0002034333],"category_scores_gemma":[0.0001326623,0.00008455653,0.0004353554,0.0001748555,0.0001403721,0.0001319177,0.00002266491,0.0001451541,0.000008611044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005815165,"about_ca_system_score_gemma":0.00009171965,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.008719813,"about_ca_topic_score_gemma":0.0267635,"domain_scores_codex":[0.9988181,0.00007235294,0.0006609166,0.000125951,0.0001186939,0.0002039689],"domain_scores_gemma":[0.9983143,0.0003068166,0.0006719967,0.000525216,0.00007140511,0.0001103249],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002123679,0.00009681044,0.00488517,0.000007328476,0.004679391,4.59887e-7,0.009480668,0.7682349,0.01262334,0.1924374,0.004060674,0.003281503],"study_design_scores_gemma":[0.002004757,0.0004849694,0.1921053,0.00007072174,0.023401,0.00008575754,0.01117421,0.003459873,0.09236933,0.1411563,0.5324963,0.001191531],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9862075,0.0002123586,0.0006071352,0.01116402,0.0002600836,0.00007888163,0.000022268,0.00000831719,0.001439368],"genre_scores_gemma":[0.9946424,0.00092382,0.0001859975,0.0003111216,0.0009823646,0.000009778064,0.000004209809,0.000022224,0.002918039],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.764775,"threshold_uncertainty_score":0.9978812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0157866185757506,"score_gpt":0.2693673532384714,"score_spread":0.2535807346627208,"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."}}