{"id":"W2104204764","doi":"","title":"Mining, Pollution and Agricultural Productivity: Evidence from Ghana","year":2012,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Mining and Resource Management","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Productivity; Agriculture; Livelihood; Agricultural productivity; Poverty; Natural resource economics; Competition (biology); Business; Gold mining; Agricultural economics; Production (economics); Geography; Economics; Economic growth","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":[],"consensus_categories":[],"category_scores_codex":[0.001011756,0.0002608249,0.0003419047,0.0002456466,0.00008736683,0.000135685,0.0003072814,0.0002715221,0.00003519639],"category_scores_gemma":[0.0002135356,0.0002443362,0.00006414275,0.00008004682,0.0001315795,0.0001161154,0.0008052425,0.0009480427,0.000009642014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005167442,"about_ca_system_score_gemma":0.00003795348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001436831,"about_ca_topic_score_gemma":0.0001226488,"domain_scores_codex":[0.9981861,0.0001333709,0.0003118196,0.0005900642,0.0001904458,0.0005882682],"domain_scores_gemma":[0.9989986,0.0001872536,0.00006129454,0.0005691068,0.00002940711,0.0001543208],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00005173325,0.0001091926,0.01846703,0.001050954,0.000467628,0.00002393703,0.0100815,0.1381246,0.002249529,0.00006651971,0.001291003,0.8280163],"study_design_scores_gemma":[0.001308455,0.0001866927,0.7266175,0.005776201,0.0001735648,0.00003405424,0.01607106,0.1562517,0.003039183,0.0002932905,0.08681276,0.00343564],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9719396,0.002141122,0.000006024093,0.0002602242,0.0005348374,0.0004200764,0.00001897929,0.0001081628,0.02457094],"genre_scores_gemma":[0.9918391,0.005334883,0.0006996799,0.000007246788,0.0006314514,0.0001147257,0.00002936227,0.00004149488,0.001302097],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8245807,"threshold_uncertainty_score":0.9963742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03674961359791646,"score_gpt":0.270043237643557,"score_spread":0.2332936240456406,"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."}}