{"id":"W2948275878","doi":"10.1163/17087384-12340019","title":"Reversing the ‘Resource Curse’ Phenomenon in Nigeria: An Assessment of the Nigeria Extractive Industries Transparency Initiative Act After a Decade","year":2017,"lang":"en","type":"article","venue":"African Journal of Legal Studies","topic":"Natural Resources and Economic Development","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Blessing; Transparency (behavior); Resource curse; Endowment; Natural resource; Phenomenon; Economics; Curse; Development economics; Statutory law; Intervention (counseling); Politics; Resource (disambiguation); Economic growth; Business; Political science; Law; Sociology; Geography","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":[0.005420772,0.0001197773,0.0001891438,0.0009705275,0.003048125,0.005105304,0.000455819,0.002297189,0.001176356],"category_scores_gemma":[0.01106752,0.0001759773,0.0002459499,0.001212384,0.003861456,0.001835313,0.001775482,0.00386644,0.0000696834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007263857,"about_ca_system_score_gemma":0.01012212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03373034,"about_ca_topic_score_gemma":0.06263847,"domain_scores_codex":[0.9966872,0.0009323042,0.0002175875,0.000143499,0.001350294,0.000669145],"domain_scores_gemma":[0.9856948,0.006932273,0.004921853,0.000313607,0.001364815,0.0007725522],"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":[0.0003155067,0.0007432359,0.2205954,0.001365761,0.0001085372,0.01131899,0.1747601,0.002967641,0.007110593,0.4849882,0.01082658,0.08489951],"study_design_scores_gemma":[0.0000367201,0.0007540265,0.5537817,0.002873299,0.0001320992,0.001462721,0.2781408,0.003654284,0.005869249,0.0232054,0.1299452,0.0001445034],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9454249,0.001661429,0.0006133604,0.009379444,0.00006870709,0.0001199584,0.00005811986,0.000008908031,0.04266519],"genre_scores_gemma":[0.9968185,0.0005665296,0.00016022,0.0008746311,0.00001363455,0.00002140923,0.00001029149,0.000002611727,0.001532074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03373034,"threshold_uncertainty_score":0.06706798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07227222687311734,"score_gpt":0.3171472107005129,"score_spread":0.2448749838273956,"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."}}