{"id":"W3043378256","doi":"","title":"An examination of oil and gas taxation and revenue management in Ghana","year":2019,"lang":"en","type":"dissertation","venue":"UpSpace Institutional Repository (University of Pretoria)","topic":"Oil, Gas, and Environmental Issues","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Revenue; Revenue management; Petroleum engineering; Tax revenue; Business; Natural resource economics; Economics; Accounting; Public economics; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009878461,0.00006496817,0.0000947,0.0007858834,0.001148114,0.001122847,0.0001912901,0.000230038,0.002252777],"category_scores_gemma":[0.002832087,0.0001144581,0.00006501416,0.002665567,0.001326928,0.001079726,0.0005277032,0.0005024474,0.0001756712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004428195,"about_ca_system_score_gemma":0.002942011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02624671,"about_ca_topic_score_gemma":0.05137105,"domain_scores_codex":[0.999332,0.0003605646,0.00004491892,0.00003819812,0.0001065414,0.0001177787],"domain_scores_gemma":[0.9979024,0.0008234472,0.0009286142,0.00003622167,0.0001921573,0.0001172777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001746541,0.000283771,0.4165498,0.001538575,0.00002598828,0.01223525,0.3433872,0.0008990904,0.004481367,0.0926279,0.01247661,0.1153197],"study_design_scores_gemma":[0.000008098411,0.00007226534,0.4252091,0.001187549,0.00001210538,0.001390109,0.4468619,0.0003172049,0.0008373063,0.001969654,0.122114,0.00002072639],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9745232,0.002483113,0.0001512202,0.003343178,0.00001597293,0.00004498396,0.0001619108,0.000002867513,0.01927368],"genre_scores_gemma":[0.9948324,0.002805117,0.0001943636,0.0002628954,0.000008184768,0.00001149019,0.00006099781,0.000003053065,0.001821526],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02624671,"threshold_uncertainty_score":0.05218786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00669219694329026,"score_gpt":0.1997400202415068,"score_spread":0.1930478232982165,"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."}}