{"id":"W2028698530","doi":"10.1016/j.resourpol.2007.08.003","title":"Mining and corruption","year":2007,"lang":"en","type":"article","venue":"Resources Policy","topic":"Corruption and Economic Development","field":"Social Sciences","cited_by":75,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Natural Resources Canada; U.S. Geological Survey","keywords":"Language change; Per capita; Economics; Per capita income; Unit (ring theory); Value (mathematics); Development economics; International economics","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":[0.001140452,0.000183482,0.0002663897,0.0008789154,0.002316724,0.00541624,0.000258371,0.002589983,0.009543836],"category_scores_gemma":[0.004740788,0.0001321702,0.0001500366,0.001740879,0.006246718,0.002771905,0.001437176,0.002038446,0.0006351761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002661737,"about_ca_system_score_gemma":0.003176786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007454033,"about_ca_topic_score_gemma":0.01569571,"domain_scores_codex":[0.9989911,0.000463265,0.00003632813,0.00008166997,0.0002125523,0.0002150812],"domain_scores_gemma":[0.9973273,0.001332297,0.000606572,0.0002058518,0.0003699665,0.0001578959],"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":[0.00002180229,0.00003769894,0.003101632,0.00005017074,0.00001132234,0.00007592914,0.001266329,0.0003667335,0.00007645756,0.9723461,0.009853505,0.01279229],"study_design_scores_gemma":[0.00001545758,0.00003293195,0.0108811,0.000413517,0.0000220384,0.0001804495,0.004175285,0.0006663171,0.0004301867,0.7897706,0.193395,0.00001697769],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1153585,0.02787291,0.001529318,0.1840427,0.0004298647,0.00002622496,0.000187963,0.00002088966,0.6705316],"genre_scores_gemma":[0.9127352,0.009595403,0.0003122491,0.006267034,0.0003884908,0.00002014239,0.00004194889,0.00001196992,0.07062763],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009543836,"threshold_uncertainty_score":0.03192729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02960462656851753,"score_gpt":0.3337811217498777,"score_spread":0.3041764951813602,"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."}}