{"id":"W2561935923","doi":"10.1057/978-1-137-57690-3_12","title":"Controlling Corruption: The Elusive Golden Fleece?","year":2016,"lang":"en","type":"book-chapter","venue":"Palgrave Macmillan UK eBooks","topic":"Corruption and Economic Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Language change; Bureaucracy; Adversary; Politics; Political science; Population; Political corruption; Rent-seeking; Political economy; Law; Sociology; Computer security","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008744322,0.0004205715,0.000505894,0.0001398199,0.0008965481,0.0001801656,0.0006646877,0.0004002075,0.006733116],"category_scores_gemma":[0.00006730591,0.0002982001,0.0003357746,0.00001497799,0.0005708605,0.000001383258,0.0001795203,0.0003054968,0.003305743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005099016,"about_ca_system_score_gemma":0.0004608997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001339989,"about_ca_topic_score_gemma":0.001896114,"domain_scores_codex":[0.9977583,0.00008385424,0.0005671649,0.0005340667,0.0004862834,0.0005703734],"domain_scores_gemma":[0.998263,0.0003468411,0.0004389526,0.0005087556,0.00019191,0.0002505544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000026797,1.351073e-7,0.00004174045,0.000005434323,0.00009689423,0.00001339927,0.002789055,4.460507e-7,0.000008661166,0.8885137,0.00008133881,0.1084224],"study_design_scores_gemma":[0.0004891774,0.00001982995,0.0001045946,0.0001389035,0.00005783218,0.000006949234,0.0004970139,0.000005179132,0.000003702415,0.5447034,0.4534838,0.0004896058],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.00004982885,0.0004660724,0.0002005594,0.00142597,0.002057589,0.0008652346,0.00006538906,0.000136662,0.9947327],"genre_scores_gemma":[0.6755134,0.000464847,0.00003853109,0.0007714884,0.001521864,0.00004710421,0.00001122361,0.00004801625,0.3215835],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6754636,"threshold_uncertainty_score":0.999947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03090003763397526,"score_gpt":0.2665843947844993,"score_spread":0.235684357150524,"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."}}