{"id":"W3035280760","doi":"","title":"IMF Programs and Economic Growth in the DRC: Documentation, Impact and Prospects","year":2020,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"International Development and Aid","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Democracy; Curse; Corporate governance; Quarter (Canadian coin); Wonder; Documentation; Political science; Good governance; Nothing; Economics; Economic policy; Development economics; Business; Finance; Law; Sociology; Politics; Geography","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":[0.007104204,0.0003328235,0.0003050056,0.01373835,0.0008109133,0.006615277,0.0004384067,0.0009142717,0.005642973],"category_scores_gemma":[0.0387598,0.0002466161,0.0001594509,0.03888248,0.002006756,0.00368032,0.001912686,0.001756189,0.0008453799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003381571,"about_ca_system_score_gemma":0.00506136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01566074,"about_ca_topic_score_gemma":0.01271159,"domain_scores_codex":[0.9966865,0.001376634,0.000365521,0.0001854446,0.001029639,0.0003562541],"domain_scores_gemma":[0.9566258,0.0248124,0.00828106,0.001684827,0.007382754,0.001213306],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003772994,0.0002148512,0.08175197,0.005051993,0.00005293712,0.0004362857,0.01080306,0.0005986213,0.0001875922,0.1412214,0.1693117,0.5899924],"study_design_scores_gemma":[0.00003428273,0.00009206017,0.2119519,0.01710509,0.00005882564,0.000574093,0.01089727,0.0005320438,0.0007205174,0.008284192,0.7496871,0.00006259455],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2026085,0.4447423,0.001746839,0.1046173,0.002142802,0.00017531,0.01369591,0.0002436066,0.2300275],"genre_scores_gemma":[0.595889,0.3661021,0.003231661,0.004257181,0.002325095,0.0002053709,0.008805832,0.0002146961,0.01896909],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01566074,"threshold_uncertainty_score":0.03757107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05449688566100279,"score_gpt":0.2336582084760546,"score_spread":0.1791613228150518,"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."}}