{"id":"W2493083837","doi":"10.1057/9780230115590_3","title":"The Economics of the Copper Price Boom in Zambia","year":2010,"lang":"en","type":"book-chapter","venue":"Palgrave Macmillan US eBooks","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trinity College","funders":"","keywords":"Boom; Incentive; Natural resource economics; Natural resource; Production (economics); Economics; Sustainable production; Business; Development economics; Market economy; Political science; Macroeconomics; Engineering","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":[0.0003977432,0.0002090951,0.000225927,0.0007031005,0.002633934,0.005032727,0.0003123891,0.001918234,0.005269221],"category_scores_gemma":[0.001298129,0.0003597937,0.0001821478,0.001209021,0.002395276,0.002589959,0.001135901,0.001843848,0.0002198091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00994012,"about_ca_system_score_gemma":0.002394106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1189466,"about_ca_topic_score_gemma":0.1895059,"domain_scores_codex":[0.9997528,0.00005224671,0.000003728319,0.00001819659,0.00003734527,0.0001357049],"domain_scores_gemma":[0.999863,0.00004968427,0.00004361546,0.00000743674,0.0000173189,0.0000189158],"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":[0.0001272111,0.00002476795,0.003483139,0.0001188722,0.00002448753,0.001391223,0.001807282,0.002412819,0.0006534352,0.9539438,0.02036588,0.01564712],"study_design_scores_gemma":[0.0001504483,0.000184783,0.09039027,0.001752998,0.0001446014,0.001494102,0.01415991,0.00948958,0.001197496,0.3679537,0.5129639,0.0001182481],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4372022,0.06915485,0.001649185,0.07620487,0.0003224946,0.00007537696,0.0005556356,0.00004873604,0.4147866],"genre_scores_gemma":[0.9529429,0.01174968,0.0001800259,0.001437907,0.00008317867,0.00001849179,0.00003370139,0.00001458055,0.0335396],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1189466,"threshold_uncertainty_score":0.2365085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01141421818253643,"score_gpt":0.2111934119519228,"score_spread":0.1997791937693863,"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."}}