{"id":"W3122467701","doi":"","title":"Containing volatility : windfall revenues for resource-rich low-income countries","year":2014,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"International Development and Aid","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Natural resource; Economic rent; Revenue; Windfall gain; Business; Rent-seeking; Economics; Government revenue; Government (linguistics); CONTEST; Tax revenue; Volatility (finance); Resource (disambiguation); Economic policy; Public economics; Finance; Market economy; Politics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00734495,0.0002211708,0.0004577256,0.0003278766,0.0006219699,0.0003205218,0.0009405793,0.0004477875,0.0001239634],"category_scores_gemma":[0.002472653,0.0002539615,0.0001484905,0.00008379799,0.0005486764,0.0001286833,0.0005765311,0.0009034519,0.00001546302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001547541,"about_ca_system_score_gemma":0.00133048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003617257,"about_ca_topic_score_gemma":0.002989225,"domain_scores_codex":[0.9969548,0.0004732633,0.0006040617,0.000681674,0.0004924203,0.0007937773],"domain_scores_gemma":[0.9969472,0.001861999,0.0002470114,0.0004095777,0.0003826767,0.0001515637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002311854,0.0003557365,0.601087,0.002103787,0.0007785789,0.00005071743,0.06614245,0.00339737,0.00002825638,0.160349,0.00446935,0.158926],"study_design_scores_gemma":[0.0007834093,0.0000983155,0.02937288,0.0009431525,0.00001012817,6.691207e-7,0.002897961,0.00403643,0.00005248601,0.03490529,0.926236,0.0006633085],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7476193,0.00009794242,0.00001474296,0.003252853,0.0008596304,0.001364631,0.0001232243,0.00006439425,0.2466032],"genre_scores_gemma":[0.9874955,0.0009754868,0.0005269972,0.0001635409,0.0009509723,0.0002994682,0.000089705,0.00003762371,0.009460659],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9217666,"threshold_uncertainty_score":0.9999912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03072294746286232,"score_gpt":0.3492898851755719,"score_spread":0.3185669377127096,"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."}}