{"id":"W3122106078","doi":"","title":"Mineral Investment and the Regulation of the Environment in Developing Countries: Lessons from Ghana","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Mining and Resource Management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Expropriation; Foreign direct investment; Developing country; Context (archaeology); Investment (military); Business; Natural resource economics; International economics; Arbitration; Economics; International trade; Economic growth; Market economy; Politics; Political science; Geography; Macroeconomics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003875539,0.0001458146,0.0001978398,0.0004015614,0.0006230295,0.00107739,0.0001971418,0.0006246408,0.001885683],"category_scores_gemma":[0.001122142,0.00008727999,0.0001206542,0.001214434,0.002134155,0.00123553,0.0007839697,0.0008164836,0.00007730385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002435119,"about_ca_system_score_gemma":0.00166322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04542657,"about_ca_topic_score_gemma":0.05821576,"domain_scores_codex":[0.9998636,0.00005658325,0.000004916354,0.00001073343,0.00001721639,0.00004697976],"domain_scores_gemma":[0.9992408,0.0004825399,0.0001646648,0.00001510607,0.00005384734,0.0000431142],"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":[0.0002409006,0.0002368934,0.172519,0.0009218552,0.00006089277,0.01468546,0.02852579,0.01387286,0.001429678,0.6485898,0.005348766,0.1135681],"study_design_scores_gemma":[0.0002900905,0.0003917756,0.275124,0.003592826,0.0001809459,0.003446514,0.1340346,0.0124985,0.003798878,0.2710544,0.2954865,0.0001009313],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8835033,0.02215943,0.001586303,0.01869638,0.00003633145,0.00002947428,0.00009685282,0.000006801289,0.07388499],"genre_scores_gemma":[0.9809901,0.01626756,0.0004579926,0.00035409,0.00001618063,0.000008775981,0.00002209003,0.000002777843,0.001880616],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04542657,"threshold_uncertainty_score":0.09032434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00496450760589579,"score_gpt":0.1781006334900434,"score_spread":0.1731361258841476,"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."}}