{"id":"W2998212796","doi":"10.6000/1929-7092.2019.08.104","title":"Corruption and its Repercussions on Employment, Poverty and Inequality: Rwanda and South Africa Compared","year":2019,"lang":"en","type":"article","venue":"Journal of Reviews on Global Economics","topic":"Politics and Conflicts in Afghanistan, Pakistan, and Middle East","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Johannesburg","keywords":"Language change; Poverty; Corporate governance; Inequality; Development economics; Politics; Economics; Power (physics); Sustainable development; Good governance; Political science; Economic growth; Political economy; Management; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009750787,0.0001255156,0.0004234163,0.00003684742,0.0001887128,0.0001329686,0.0001004111,0.0000715593,0.00003168141],"category_scores_gemma":[0.0001241994,0.00009532712,0.00007344189,0.00004839286,0.00006782846,0.0001394392,0.0000327104,0.0001247598,0.00001402378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001549233,"about_ca_system_score_gemma":0.0001015078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002581721,"about_ca_topic_score_gemma":0.00008695157,"domain_scores_codex":[0.9989141,0.0001428033,0.0004753775,0.0001683794,0.0001055287,0.0001938299],"domain_scores_gemma":[0.9990552,0.00005463278,0.0004593708,0.0001091132,0.00005915243,0.0002625367],"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":[0.0002055787,0.0001085259,0.01053555,0.00009313437,0.00005855762,0.000004415333,0.002292216,0.00000905249,0.00001903119,0.9668454,0.0002901162,0.01953842],"study_design_scores_gemma":[0.0004856739,0.0002445693,0.002418128,0.00023282,0.00003104809,0.000009784107,0.000504276,0.00006080596,0.000001796285,0.00174368,0.9941479,0.000119542],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8113334,0.01750789,0.00003241587,0.0004579322,0.0009475315,0.0005519265,0.0002155754,0.00001193903,0.1689414],"genre_scores_gemma":[0.9373226,0.05206492,0.0001171039,0.002086308,0.0002482886,0.000002131419,0.000002229839,0.000009273752,0.008147187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9938577,"threshold_uncertainty_score":0.3887327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0680837883909729,"score_gpt":0.3297765818326289,"score_spread":0.261692793441656,"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."}}