{"id":"W2964569100","doi":"10.1590/0034-7329201900204","title":"South-South relations and global environmental governance: Brazilian international development cooperation","year":2019,"lang":"en","type":"article","venue":"Revista Brasileira de Política Internacional","topic":"International Development and Aid","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Ministério da Ciência, Tecnologia e Inovação; Social Sciences and Humanities Research Council of Canada; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Government of Canada","keywords":"Environmental governance; Political science; Corporate governance; International relations; South–South cooperation; Global South; Global governance; Regional science; Geography; Business; Economic geography; Politics; Finance","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004170852,0.0002012399,0.0001751262,0.00006111757,0.0003224924,0.0002996385,0.0004003675,0.0001256148,0.004937105],"category_scores_gemma":[0.000153317,0.0002135224,0.00007889822,0.0001102777,0.0001738217,0.0004175463,0.0001565578,0.0001881871,0.0014022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001081228,"about_ca_system_score_gemma":0.0003779144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004392726,"about_ca_topic_score_gemma":0.00006742018,"domain_scores_codex":[0.9980218,0.0000925863,0.0004059389,0.0003959359,0.0007307191,0.0003530629],"domain_scores_gemma":[0.9993671,0.00006600238,0.0001767987,0.0001290341,0.00007134343,0.0001897864],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000414081,0.00005033149,0.5970245,0.000006979734,0.00007303832,0.000005900952,0.003823157,0.000009550805,0.0001776417,0.3969006,0.0005908863,0.001295978],"study_design_scores_gemma":[0.0007292182,0.0000299895,0.781372,0.0001452856,0.00001688463,0.00001925905,0.0009223339,0.0004619035,0.00007212035,0.0003449305,0.2154745,0.0004115993],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.960943,0.0001052766,0.001041164,0.002461308,0.0007561051,0.0003239682,0.0001492901,0.0000705222,0.03414937],"genre_scores_gemma":[0.9865472,0.0000212875,0.001987723,0.0005361958,0.0003144658,0.00002074408,0.000127659,0.0000161348,0.01042861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3965557,"threshold_uncertainty_score":0.9993753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009484235145026044,"score_gpt":0.269253898053837,"score_spread":0.259769662908811,"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."}}