{"id":"W4413136025","doi":"10.1080/00083968.2025.2536380","title":"Explaining Successes in Africa: Things Don’t Always Fall Apart","year":2025,"lang":"en","type":"article","venue":"Canadian Journal of African Studies / Revue canadienne des études africaines","topic":"Economic Growth and Development","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"History; Political science","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":[0.006240416,0.001137775,0.0008664098,0.003365459,0.006241552,0.008217159,0.001373682,0.002501512,0.01010215],"category_scores_gemma":[0.02410237,0.0005293495,0.0003856226,0.005093686,0.02184989,0.01874122,0.006496312,0.005937809,0.0009845251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006118665,"about_ca_system_score_gemma":0.004981833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04324907,"about_ca_topic_score_gemma":0.05421305,"domain_scores_codex":[0.9974012,0.001193348,0.00009162325,0.0002658798,0.0002719662,0.0007759915],"domain_scores_gemma":[0.9844844,0.01046623,0.002055418,0.0005389581,0.001134787,0.001320296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008863783,0.00008766684,0.07760716,0.001112514,0.0001336361,0.00129423,0.2149701,0.001051087,0.0001755128,0.5858537,0.04643017,0.07119561],"study_design_scores_gemma":[0.00003902187,0.00005852337,0.05232975,0.004039833,0.00008282734,0.0003991779,0.3148849,0.001030353,0.0002232466,0.4361558,0.1906611,0.00009565753],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2825963,0.0632145,0.008218083,0.4672981,0.002413992,0.0001271141,0.0008868722,0.0001006362,0.1751445],"genre_scores_gemma":[0.9739738,0.01347587,0.001078395,0.006853682,0.0004827654,0.00005352073,0.0001333938,0.0001009632,0.003847627],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04324907,"threshold_uncertainty_score":0.08599466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03170281069915967,"score_gpt":0.2257885258606052,"score_spread":0.1940857151614455,"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."}}