{"id":"W2995767358","doi":"10.5539/ibr.v13n1p192","title":"Macroeconomic Drivers of Private Equity Penetration in Sub-Saharan African Countries","year":2019,"lang":"en","type":"article","venue":"International Business Research","topic":"Private Equity and Venture Capital","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Endogeneity; Economics; Stock market; Monetary economics; Private sector; Private equity fund; Exchange rate; Panel data; Per capita; Private equity secondary market; Private equity firm; Private equity; Econometrics; Finance; Economic growth; Population; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003282108,0.0001959822,0.0001988042,0.0007934724,0.0002845085,0.00103834,0.0001021069,0.00019393,0.001952788],"category_scores_gemma":[0.001394653,0.0001304751,0.0001674374,0.00138626,0.0002296078,0.0006460786,0.0006426726,0.0003809914,0.0001218802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003405647,"about_ca_system_score_gemma":0.0004100206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006377887,"about_ca_topic_score_gemma":0.007232281,"domain_scores_codex":[0.9998205,0.00004750462,0.00001456459,0.00001667117,0.00002672617,0.0000740661],"domain_scores_gemma":[0.9990357,0.0001556513,0.0005778782,0.00002152237,0.0000933859,0.0001159746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004276868,0.00003076355,0.9845898,0.00008020841,0.00004406272,0.0009387442,0.0009934065,0.0005167488,0.0003171796,0.001712173,0.0005744153,0.01015982],"study_design_scores_gemma":[0.000002023756,0.00001880187,0.9942464,0.00006628902,0.00001699194,0.000234607,0.002796802,0.0004062825,0.00009243685,0.0002951813,0.001819986,0.000004263029],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959406,0.001191277,0.0000623379,0.0004169827,0.000007055176,0.000007365624,0.0002915616,0.00000231828,0.002080525],"genre_scores_gemma":[0.999032,0.0006020757,0.0000321677,0.00001968755,0.000007138774,0.000003294474,0.00009647369,7.042976e-7,0.0002065538],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006377887,"threshold_uncertainty_score":0.01268148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04470255708306115,"score_gpt":0.3262270275686775,"score_spread":0.2815244704856164,"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."}}