{"id":"W2581498814","doi":"","title":"State Power for Low-Carbon Development: A Comparative Investigation into the Effectiveness of Carbon Finance Projects in Tanzania, Uganda and Moldova","year":2014,"lang":"en","type":"dissertation","venue":"TSpace","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"H2020 European Research Council; Agence Nationale de la Recherche; U.S. Forest Service; Social Sciences and Humanities Research Council of Canada; University of Toronto; Ministry of Environment; Ministry of Natural Resources and Tourism; International Development Research Centre; General Administration of Customs; Centers for Disease Control and Prevention Foundation; Agenția Națională pentru Cercetare și Dezvoltare; United Nations Development Programme; African Development Bank Group","keywords":"Clean Development Mechanism; Incentive; Kyoto Protocol; Carbon credit; Corporate governance; Business; Finance; Sustainable development; Tanzania; Economics; Economic growth; Natural resource economics; Greenhouse gas; Political science; Market economy","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":[0.002944405,0.0001430782,0.0002057063,0.001910856,0.00157663,0.001847669,0.0003685271,0.0003717453,0.002653824],"category_scores_gemma":[0.006689343,0.0002238415,0.000234983,0.001487262,0.001613766,0.00114618,0.002020274,0.0005376267,0.0001308278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001836626,"about_ca_system_score_gemma":0.002174605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005894494,"about_ca_topic_score_gemma":0.01865655,"domain_scores_codex":[0.9986901,0.0006983648,0.00005913786,0.00004483351,0.0001645232,0.0003430272],"domain_scores_gemma":[0.9939066,0.003436641,0.001129947,0.0002167614,0.0006476765,0.0006624523],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009598608,0.0006833258,0.7544302,0.0008408169,0.0001852857,0.003067396,0.07388119,0.002475922,0.004964048,0.03771143,0.0013639,0.1194366],"study_design_scores_gemma":[0.00006096845,0.000798777,0.8969736,0.0003355213,0.0001264993,0.0005116738,0.08607694,0.001290168,0.001407917,0.001463072,0.01092696,0.00002798853],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963438,0.0001338796,0.00008951725,0.00009102681,0.000001871652,0.00002026841,0.00001870536,0.000001782077,0.003299144],"genre_scores_gemma":[0.9995326,0.00008228275,0.00007404498,0.0000123263,8.574144e-7,0.00001486341,0.000009945001,9.007676e-7,0.000272266],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005894494,"threshold_uncertainty_score":0.01557171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01218249613570485,"score_gpt":0.2650114354736122,"score_spread":0.2528289393379073,"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."}}