{"id":"W2103013095","doi":"10.4337/9780857933683.00017","title":"Economic analysis of feed-in tariffs for generating electricity from renewable energy sources","year":2013,"lang":"en","type":"book-chapter","venue":"Edward Elgar Publishing eBooks","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Renewable energy; Electricity; Feed-in tariff; Electricity retailing; Economics; Natural resource economics; Environmental economics; Environmental science; Business; Electricity market; Energy policy; Engineering; Electrical engineering","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008838475,0.0005480272,0.002051939,0.002066235,0.0001476817,0.000987157,0.0008092288,0.0008919255,0.001599141],"category_scores_gemma":[0.0001690747,0.0007203691,0.0008256891,0.00008676606,0.00008059142,0.000663641,0.0002216509,0.0004133191,0.00008250005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006987925,"about_ca_system_score_gemma":0.0001109508,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.09059755,"about_ca_topic_score_gemma":0.04993834,"domain_scores_codex":[0.9961916,0.00001199102,0.001954983,0.001104721,0.00005787592,0.0006788499],"domain_scores_gemma":[0.9965534,0.0003950656,0.002033357,0.0007836661,0.00006759327,0.0001668694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001057678,0.00007244836,0.006656005,0.0001831632,0.006194769,0.000004181181,0.002259915,0.02053248,0.00009094204,0.9051075,0.05305946,0.005733378],"study_design_scores_gemma":[0.001112755,0.00009993867,0.0004382333,0.0001102554,0.0005151065,0.000001046995,0.00006040663,0.1062334,0.0005193349,0.287768,0.6014764,0.001665105],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02515513,0.00251378,0.002970801,0.0003745687,0.001230248,0.0005421747,0.006778738,0.0001079789,0.9603266],"genre_scores_gemma":[0.1854877,0.001263218,0.007576015,0.002937475,0.005283732,0.0005037901,0.007057497,0.0007236461,0.7891669],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6173394,"threshold_uncertainty_score":0.9995247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05062381852193606,"score_gpt":0.2190124675504771,"score_spread":0.168388649028541,"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."}}