{"id":"W2140869643","doi":"10.4102/jef.v5i1.310","title":"An analysis of compensation collected for the depletion of Angola’s oil resources","year":2012,"lang":"en","type":"article","venue":"Journal of Economic and Financial Sciences","topic":"Natural Resources and Economic Development","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Prosperity; Compensation (psychology); Natural resource; Oil reserves; Business; Production (economics); Poverty; Tariff; Corporate governance; Resource (disambiguation); Oil production; Natural resource economics; Economics; Petroleum; Economic growth; International trade; Finance; Political science","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":[0.001888826,0.00006963165,0.0004268009,0.0003527398,0.0001496278,0.00002924996,0.0002074393,0.00005016346,0.00006455195],"category_scores_gemma":[0.000103513,0.00005345747,0.0001479015,0.0002387807,0.0001696929,0.0003368639,0.00001914517,0.00004843364,0.000001199562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005952794,"about_ca_system_score_gemma":0.00004541415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002384593,"about_ca_topic_score_gemma":0.0001595249,"domain_scores_codex":[0.9989032,0.00001179663,0.0007897852,0.0001102267,0.00002953043,0.0001554523],"domain_scores_gemma":[0.9983814,0.0001792052,0.001267451,0.00007655418,0.00003754784,0.00005787276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001402495,0.00008609713,0.9022915,0.00002193956,0.0002547423,7.607225e-8,0.003887285,0.003540931,0.0001004164,0.07879188,0.0002722991,0.01061255],"study_design_scores_gemma":[0.0003760388,0.0002382984,0.9604238,0.00001005871,0.00008070093,0.000002798857,0.0006567893,0.01434489,0.0001029215,0.001543602,0.02211186,0.0001082955],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953128,0.002501108,0.0008940875,0.000178209,0.0003259532,0.00004992043,0.00004836791,0.000001280831,0.0006882748],"genre_scores_gemma":[0.9982475,0.0004338582,0.001070297,0.00004762448,0.0001335553,0.000002085899,0.000001669366,0.000002912233,0.00006048962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07724828,"threshold_uncertainty_score":0.2179932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03550066676584541,"score_gpt":0.2505738708707198,"score_spread":0.2150732041048744,"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."}}