{"id":"W2648734951","doi":"","title":"Reversing the Resource Curse in Angola","year":2017,"lang":"en","type":"article","venue":"Scholarship at UWindsor (University of Windsor)","topic":"Natural Resources and Economic Development","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reversing; Resource curse; Resource (disambiguation); Political science; Economics; Development economics; Natural resource; Computer science; Engineering; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001305856,0.0001622276,0.0003816317,0.0002353617,0.001250372,0.0001157099,0.001351577,0.0001729778,0.0006496956],"category_scores_gemma":[0.0001983052,0.0001844787,0.0001799987,0.0001360141,0.0002956585,0.0007283508,0.0005523446,0.0004302847,0.0005326075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002859799,"about_ca_system_score_gemma":0.00002227995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006943722,"about_ca_topic_score_gemma":0.0008709992,"domain_scores_codex":[0.9987493,0.00003453755,0.0003111471,0.0004461977,0.00007148457,0.0003873664],"domain_scores_gemma":[0.9982993,0.0000667356,0.0006253822,0.0008730863,0.00002345212,0.0001120453],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001409135,0.00005196633,0.9857442,0.00002547554,0.00005764838,0.00002991295,0.002712456,0.00002816372,0.00006392105,0.007405345,0.001301413,0.002438603],"study_design_scores_gemma":[0.0009276479,0.00002085928,0.7886674,0.00004912839,0.000006451533,0.000004980066,0.0007146834,0.000103327,0.0000488742,0.002667198,0.206573,0.0002164956],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9410244,0.0006158373,0.00001148043,0.004334363,0.0001985284,0.0001780093,0.00004084457,0.00001561259,0.05358096],"genre_scores_gemma":[0.9890417,0.00008439456,0.000358097,0.0001618098,0.00004862186,3.702102e-7,0.000007774581,0.0000159818,0.01028123],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2052716,"threshold_uncertainty_score":0.9616979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04117082556955729,"score_gpt":0.2123089879143003,"score_spread":0.1711381623447431,"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."}}