{"id":"W3121306548","doi":"10.2139/ssrn.3262239","title":"Does Transparency Reduce Corruption?","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Corruption and Economic Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Transparency (behavior); Language change; Agency (philosophy); Margin (machine learning); Imperfect; Business; Economics; Monetary economics; Computer security; Computer science","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":[0.00474526,0.000229347,0.0004730724,0.001140504,0.001465175,0.004040631,0.0004349318,0.003113897,0.01438335],"category_scores_gemma":[0.0325083,0.0002045516,0.0004765113,0.001111185,0.003410994,0.004239717,0.002017951,0.00301475,0.001169575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001703654,"about_ca_system_score_gemma":0.004488088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004144832,"about_ca_topic_score_gemma":0.00446574,"domain_scores_codex":[0.9952278,0.00189946,0.0001652625,0.0002865683,0.0009614424,0.001459484],"domain_scores_gemma":[0.9663017,0.01720008,0.00889379,0.002041207,0.00353376,0.002029527],"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":[0.0006936525,0.0007178972,0.03654427,0.0004738941,0.0002407252,0.0004679121,0.00314831,0.002299224,0.001138189,0.7927396,0.05790925,0.1036271],"study_design_scores_gemma":[0.0004453399,0.0004184724,0.08240416,0.0007341377,0.000403934,0.0003132824,0.005234778,0.003902828,0.003697291,0.7936091,0.1087569,0.0000800175],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2952077,0.005039801,0.004331994,0.4142889,0.001348186,0.00006735624,0.0004538534,0.0001459147,0.2791162],"genre_scores_gemma":[0.9851804,0.0008122139,0.000312852,0.005930613,0.0004398565,0.00001553321,0.00003702432,0.00001413558,0.007257488],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01438335,"threshold_uncertainty_score":0.0481171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01486269210808049,"score_gpt":0.2774719536628413,"score_spread":0.2626092615547608,"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."}}