{"id":"W2910204907","doi":"","title":"Exploiting a natural resource in a poor country: The good, the bad and the ugly sides of the Kyrgyz Republic's gold mine","year":2018,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Natural Resources and Economic Development","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Resource curse; Endowment; Resource (disambiguation); Negotiation; Natural resource; Revenue; Dutch disease; Clearance; Economics; Development economics; Quarter (Canadian coin); Business; Economic growth; International trade; Economic policy; Political science; Finance; Geography","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":[0.0007186674,0.0001268169,0.0003399672,0.0003692245,0.001855803,0.003147474,0.0001990554,0.000910629,0.002269744],"category_scores_gemma":[0.001442458,0.0001062932,0.00010424,0.0009046023,0.00308684,0.002663865,0.001865968,0.00146199,0.00009695182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003665871,"about_ca_system_score_gemma":0.001968576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0472397,"about_ca_topic_score_gemma":0.06563529,"domain_scores_codex":[0.9997085,0.0001225256,0.000008182473,0.00002207486,0.00002959998,0.0001091095],"domain_scores_gemma":[0.9994567,0.0001953473,0.0002060495,0.00001599068,0.00004038385,0.00008559279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0004589314,0.0002311642,0.2449723,0.0004083723,0.0001374931,0.004626879,0.01722558,0.01566646,0.001078603,0.6422828,0.02566459,0.0472469],"study_design_scores_gemma":[0.00007940881,0.0002060366,0.3000194,0.0009558488,0.0001777879,0.001016367,0.1452802,0.0217514,0.00119095,0.4746523,0.054563,0.0001073939],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9494064,0.003187575,0.0004846224,0.02766304,0.00003274564,0.00001023167,0.0001263069,0.000004547147,0.01908453],"genre_scores_gemma":[0.9970163,0.001208589,0.0001038226,0.0003161849,0.00001366801,0.000002988267,0.00001634609,0.000001622918,0.001320461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0472397,"threshold_uncertainty_score":0.09392947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01616964351738032,"score_gpt":0.2037134182623443,"score_spread":0.1875437747449639,"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."}}