{"id":"W6899150211","doi":"10.58079/o93m","title":"Feed-in tariffs for renewable energy and WTO subsidy rules","year":2011,"lang":"en","type":"article","venue":"OpenEdition (OpenEdition)","topic":"World Trade Organization Law","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subsidy; Renewable energy; Energy (signal processing); Feed-in tariff; Production (economics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005835865,0.0004640449,0.0004510556,0.003684231,0.004022505,0.008091456,0.001862765,0.004493341,0.003632425],"category_scores_gemma":[0.01422834,0.0005509558,0.0006792836,0.004444485,0.004470707,0.002461653,0.001190713,0.004189204,0.0006028891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02170905,"about_ca_system_score_gemma":0.029617,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6089652,"about_ca_topic_score_gemma":0.6726866,"domain_scores_codex":[0.9881803,0.001095795,0.0003697015,0.0005212005,0.008306543,0.001526546],"domain_scores_gemma":[0.9944592,0.002281184,0.0004676744,0.000349189,0.002314343,0.0001285272],"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":[0.00002200081,0.00002341558,0.001162995,0.00008443734,0.00001010657,0.0001096652,0.0009574192,0.0006999096,0.0002064804,0.9453272,0.03468549,0.0167109],"study_design_scores_gemma":[0.00004483025,0.00003664071,0.02191707,0.001464264,0.00008042056,0.0002202775,0.002258213,0.002818498,0.00182186,0.1230392,0.8461943,0.000104505],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0261485,0.01136178,0.007662907,0.02203872,0.0009277389,0.0003358368,0.001904941,0.0001007631,0.9295187],"genre_scores_gemma":[0.7492613,0.01856793,0.01156783,0.02136941,0.0006813242,0.0004267307,0.002811675,0.0001605467,0.1951532],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6089652,"threshold_uncertainty_score":0.7866755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02555721447879669,"score_gpt":0.2463398408700382,"score_spread":0.2207826263912415,"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."}}