{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005288614,0.0002531426,0.0002871463,0.0008560859,0.0003089139,0.0004627664,0.0002494596,0.0004821012,0.002940818],"category_scores_gemma":[0.002502542,0.0001718129,0.0002387613,0.00264191,0.0007632643,0.0004056782,0.0004942655,0.0003698838,0.0003458796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005567768,"about_ca_system_score_gemma":0.0003911227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.040727,"about_ca_topic_score_gemma":0.0418711,"domain_scores_codex":[0.9997353,0.0001249003,0.00002139006,0.00003588152,0.00003473868,0.00004794988],"domain_scores_gemma":[0.9950552,0.002335741,0.002011587,0.0001260367,0.0002395766,0.0002318433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003247624,0.0002148906,0.981005,0.0002983981,0.0001868081,0.001432476,0.001483116,0.0005549635,0.0005684623,0.0004559556,0.0009088187,0.01256644],"study_design_scores_gemma":[0.00005310299,0.0001445841,0.9920028,0.00015613,0.0001456447,0.0005320066,0.003565501,0.0003524492,0.0002343653,0.0004424643,0.002363222,0.000007573748],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957069,0.001666362,0.0001314779,0.0006011091,0.000003602812,0.000008932605,0.0005528405,0.000002373351,0.001326506],"genre_scores_gemma":[0.99708,0.00206581,0.0001112174,0.00006170049,0.00001088286,0.000006582509,0.0004021767,0.00000257548,0.000258979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.040727,"threshold_uncertainty_score":0.08097994,"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."}}