{"id":"W2133581250","doi":"10.5539/ijef.v4n10p54","title":"Sources of Economic Growth in 31 Sub-Sahara African Countries for the Period 1975–2008: A Growth Accounting Approach","year":2012,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economics; Growth accounting; Demographic economics; Capital (architecture); Productivity; Total factor productivity; Factor shares; Human capital; Capital formation; Production (economics); Geography; Macroeconomics; Economic growth; Financial capital","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":[0.00164407,0.0001751763,0.0005312862,0.0003100056,0.00008306992,0.0001183596,0.0005280059,0.00008459226,0.00001178213],"category_scores_gemma":[0.0001456662,0.0001706728,0.0001840078,0.00005282148,0.0001682181,0.0009323075,0.0000835032,0.0001807761,0.000008572812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001674051,"about_ca_system_score_gemma":0.00008657259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001876095,"about_ca_topic_score_gemma":0.00003151382,"domain_scores_codex":[0.9983013,0.00001106779,0.001119673,0.000242819,0.00002538776,0.0002997264],"domain_scores_gemma":[0.9979429,0.0002336233,0.001525867,0.000138094,0.0001105974,0.00004888604],"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":[0.0002713795,0.0001385738,0.3864041,0.0000439599,0.0002371758,9.659963e-7,0.001354724,0.002071104,0.000005232171,0.6079267,0.0003909981,0.001155096],"study_design_scores_gemma":[0.008701428,0.0005283859,0.4665775,0.0001715321,0.0001036838,0.0006670007,0.001669604,0.05992676,0.003702141,0.2412449,0.2148241,0.001882931],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9858165,0.008328462,0.0005134846,0.001951588,0.001344127,0.0001867389,0.0002462741,0.000002494809,0.0016103],"genre_scores_gemma":[0.9894935,0.008675141,0.0008085723,0.0001337587,0.0007917014,0.00001988814,0.000004620327,0.00001998981,0.00005283298],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3666818,"threshold_uncertainty_score":0.6959833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02256590136732023,"score_gpt":0.2131799980465924,"score_spread":0.1906140966792721,"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."}}