{"id":"W3010474216","doi":"10.2139/ssrn.3455321","title":"The Economic and Environmental Impact of Foreign Direct Investment on the Mongolian Coal-Export Sector","year":2019,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Coal and Coke Industries Research","field":"Energy","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Department for International Development; International Development Research Centre; Government of Canada","keywords":"Foreign direct investment; Computable general equilibrium; Coal; Consumption (sociology); Economics; Investment (military); Business; International economics; Natural resource economics; International trade; Macroeconomics; Engineering; Waste management","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0004260835,0.0001234833,0.0001752262,0.0005059364,0.0003634664,0.001429293,0.0001769667,0.0004522697,0.003500317],"category_scores_gemma":[0.0009928056,0.0001057691,0.0002710897,0.0008238504,0.0003665666,0.0006744325,0.0006284551,0.0004940084,0.0001882898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00235336,"about_ca_system_score_gemma":0.001665861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06660311,"about_ca_topic_score_gemma":0.08188105,"domain_scores_codex":[0.9998337,0.00003826211,0.000006794667,0.00001537463,0.00001728934,0.00008860712],"domain_scores_gemma":[0.9991352,0.00028142,0.0002459894,0.00002522155,0.0001506996,0.0001615357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001021607,0.0001903745,0.9389059,0.0002468856,0.0002588118,0.002192131,0.001732584,0.01171428,0.003355868,0.01976593,0.002208371,0.01840716],"study_design_scores_gemma":[0.00002491163,0.000114602,0.9807596,0.00007985655,0.0001260038,0.0001578773,0.005248966,0.005256836,0.00101615,0.001716962,0.005484416,0.0000139179],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946498,0.0005889697,0.00002691486,0.0006371172,0.000007496501,0.000001889123,0.0002347521,0.000001815467,0.003851173],"genre_scores_gemma":[0.9976826,0.0004411748,0.00001067494,0.00002668833,0.000005353576,0.000001008474,0.0001478904,0.00000112207,0.001683514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06660311,"threshold_uncertainty_score":0.1324309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01710049595324514,"score_gpt":0.2481651770300984,"score_spread":0.2310646810768532,"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."}}