{"id":"W3122199926","doi":"10.1111/kykl.12110","title":"China's Impact on Africa – The Role of Trade, FDI and Aid","year":2016,"lang":"en","type":"article","venue":"Kyklos","topic":"International Development and Aid","field":"Social Sciences","cited_by":191,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Foreign direct investment; China; Panel data; Economics; Competition (biology); International trade; International economics; Natural resource; Investment (military); Geography; Macroeconomics; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005489683,0.0002610352,0.0002126527,0.001185579,0.000373589,0.0009952636,0.0001107976,0.0001130661,0.003122839],"category_scores_gemma":[0.001026656,0.00005998355,0.0002447046,0.002075834,0.000552623,0.0004845569,0.0007635102,0.0002852828,0.0001090628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00113113,"about_ca_system_score_gemma":0.001856484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04816077,"about_ca_topic_score_gemma":0.05061251,"domain_scores_codex":[0.9997743,0.00005011211,0.000009502351,0.00001833429,0.00004010414,0.0001077397],"domain_scores_gemma":[0.9991754,0.0002077412,0.0002482704,0.00003650935,0.0001690034,0.0001631396],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002260551,0.00004538304,0.9038435,0.0003848108,0.0002949729,0.001413308,0.001118861,0.01009947,0.002594351,0.01767271,0.002611928,0.05969479],"study_design_scores_gemma":[0.0000153238,0.00009610209,0.9735352,0.0001607215,0.0001593794,0.0002095033,0.001457531,0.003598047,0.001685493,0.001539967,0.01752445,0.00001822406],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9842278,0.002543845,0.00009646148,0.001275769,0.00001635739,0.000007178769,0.0004173386,0.000006737305,0.01140864],"genre_scores_gemma":[0.9973547,0.001559383,0.00004255521,0.0000488499,0.00001247717,0.000002380832,0.0001121088,0.000001833964,0.0008656316],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04816077,"threshold_uncertainty_score":0.09576088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009072769296202772,"score_gpt":0.2685347777436408,"score_spread":0.259462008447438,"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."}}