{"id":"W7010419264","doi":"","title":"Impactos e aceitação social de energias renováveis na matriz elétrica brasileira: o caso do Estado do Rio Grande do Norte","year":2016,"lang":"pt","type":"dissertation","venue":"RepositóriUM (Universidade do Minho)","topic":"Subterranean biodiversity and taxonomy","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Eletrosul Centrais Elétricas; Universidade Federal Rural do Semi-Árido; Banco do Nordeste do Brasil; Universidade Federal do Rio Grande do Norte; Ministério do Meio Ambiente; Organisation de Coopération et de Développement Économiques; Companhia Energética de Minas Gerais; Fundação de Apoio à Pesquisa do Rio Grande do Norte; Egg Farmers of Canada; Banco Nacional de Desenvolvimento Econômico e Social; Companhia Energética de São Paulo; Petrobras; Tianjin University of Science and Technology; Fondation pour l'Aide à la Recherche sur la Sclérose en Plaques","keywords":"Renewable energy; Work (physics); Electricity; Sustainability; Wind power; Population; Energy planning; Mains electricity","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001624383,0.000285757,0.0003605846,0.001487747,0.001657741,0.002981273,0.0004669614,0.0005345489,0.002338544],"category_scores_gemma":[0.004173686,0.0002676101,0.0003596567,0.002246452,0.002745628,0.001161241,0.001659776,0.0006532621,0.0001411771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005574472,"about_ca_system_score_gemma":0.005248119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1893026,"about_ca_topic_score_gemma":0.35959,"domain_scores_codex":[0.9986946,0.0004356717,0.00006317161,0.0001589649,0.0003857332,0.0002618083],"domain_scores_gemma":[0.9979256,0.0008182875,0.0005007675,0.0001576192,0.0004143716,0.0001833286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001456696,0.0002174263,0.4271462,0.001750687,0.0001615862,0.008747648,0.1954568,0.002931432,0.005839451,0.1709971,0.005013693,0.1815924],"study_design_scores_gemma":[0.00001837858,0.000138586,0.7196603,0.001657051,0.0001609918,0.002064124,0.1160214,0.002815192,0.001052469,0.006869063,0.1494628,0.00007946791],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9233279,0.007203266,0.0007449047,0.003968801,0.00005853025,0.00007213619,0.0002060074,0.00004027439,0.06437816],"genre_scores_gemma":[0.9958252,0.001969008,0.0003246275,0.0000641532,0.00001047857,0.00001234747,0.00003227161,0.000005518405,0.0017566],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1893026,"threshold_uncertainty_score":0.3764015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02400523690602216,"score_gpt":0.2254588292595306,"score_spread":0.2014535923535085,"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."}}