{"id":"W3122135203","doi":"10.4236/ti.2015.63015","title":"China and Sub-Saharan Africa’s Economic Development: A Multipolar Specification","year":2015,"lang":"en","type":"article","venue":"Technology and Investment","topic":"International Development and Aid","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nexus (standard); China; Context (archaeology); Political science; Economic system; Development economics; Economic geography; Economic growth; Economics; Geography; Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001111836,0.0005207642,0.0003792811,0.001712792,0.001218706,0.00384378,0.0002773878,0.0004822614,0.00427895],"category_scores_gemma":[0.0011421,0.0001999132,0.0005135008,0.003345801,0.003424435,0.002892894,0.004342487,0.0007153674,0.0002077278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001500101,"about_ca_system_score_gemma":0.00244455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01000065,"about_ca_topic_score_gemma":0.00948976,"domain_scores_codex":[0.9992989,0.000324321,0.00002951837,0.00008880102,0.00007367144,0.0001847129],"domain_scores_gemma":[0.9992635,0.0003159487,0.0001714448,0.00004124958,0.00008451733,0.0001233739],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00002913119,0.00002788445,0.07628699,0.0001324835,0.00007861334,0.0007201858,0.004134435,0.003883757,0.0003371781,0.9005273,0.0006450601,0.01319683],"study_design_scores_gemma":[0.00005926538,0.0002009962,0.220577,0.001011462,0.0003103661,0.0008871869,0.03768699,0.03473303,0.0008772327,0.6065625,0.09700971,0.00008411019],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7562737,0.008706093,0.02337517,0.008339488,0.00008679398,0.0001819579,0.0007111125,0.00003581082,0.2022899],"genre_scores_gemma":[0.9935048,0.00242342,0.001227425,0.0001700405,0.00002471882,0.00007527784,0.0001018263,0.000004415759,0.002468017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01000065,"threshold_uncertainty_score":0.01988488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03352210181885378,"score_gpt":0.2589081594695717,"score_spread":0.225386057650718,"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."}}