{"id":"W4366085227","doi":"10.1093/jae/ejac050","title":"Structural Change and Inequality in Africa","year":2022,"lang":"en","type":"article","venue":"Journal of African Economies","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Economics; Inequality; Human capital; Economic inequality; Asset (computer security); Pace; Demographic economics; Development economics; Labour economics; Productivity; Economic growth; Geography","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":[0.0007983282,0.0001462146,0.0001730016,0.001448787,0.0009227329,0.001248263,0.0002264961,0.000255184,0.003722522],"category_scores_gemma":[0.005721353,0.00007643027,0.000162131,0.003270387,0.001443825,0.001044845,0.0017322,0.0005856974,0.00009304508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001518827,"about_ca_system_score_gemma":0.0007353132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009303536,"about_ca_topic_score_gemma":0.009980281,"domain_scores_codex":[0.9993338,0.0002620186,0.00002176681,0.00005467391,0.0001092438,0.000218444],"domain_scores_gemma":[0.998175,0.0006642797,0.0006825074,0.00008479563,0.0001843641,0.0002089932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001429958,0.0001311661,0.738909,0.0002624076,0.0001379313,0.0007311463,0.01361925,0.005659328,0.0008627938,0.1526056,0.002036662,0.08490176],"study_design_scores_gemma":[0.00000832069,0.00008745355,0.928579,0.0002948761,0.00002556974,0.0002385084,0.00994025,0.004511998,0.0003647535,0.0408861,0.01504683,0.00001649614],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9656804,0.002100963,0.001440405,0.003753122,0.0000367621,0.00002340972,0.0004442567,0.000008314642,0.02651244],"genre_scores_gemma":[0.9994643,0.0002529523,0.00007787339,0.00002244696,0.000009847645,0.000002679824,0.00003343989,7.210159e-7,0.0001356969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009303536,"threshold_uncertainty_score":0.01849878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08535163776054985,"score_gpt":0.3043594744042183,"score_spread":0.2190078366436684,"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."}}