{"id":"W2208631231","doi":"10.22004/ag.econ.158368","title":"Does Transparency Reduce Corruption?","year":2013,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Corruption and Economic Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Transparency (behavior); Language change; Margin (machine learning); Agency (philosophy); Imperfect; Economics; Monetary economics; Business; 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":[0.003867519,0.0003193162,0.0006576835,0.0008687004,0.000941094,0.003032835,0.0004795102,0.001973806,0.007974045],"category_scores_gemma":[0.0235578,0.000288186,0.0006141303,0.0008772784,0.002899155,0.003767686,0.002031583,0.00172206,0.000779966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001702356,"about_ca_system_score_gemma":0.002469608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002341987,"about_ca_topic_score_gemma":0.002076721,"domain_scores_codex":[0.9957462,0.001971922,0.0001585085,0.0004111152,0.0006821647,0.001030114],"domain_scores_gemma":[0.9737438,0.009936358,0.01102911,0.002035962,0.001896317,0.001358502],"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":[0.0004705088,0.0006942278,0.04786559,0.0007639741,0.0003724239,0.0004478384,0.002369502,0.01505014,0.006738464,0.8111445,0.01657588,0.09750694],"study_design_scores_gemma":[0.0003605478,0.0005721361,0.08085112,0.0005070627,0.0003228823,0.0004944864,0.002043823,0.02098661,0.008319936,0.8415859,0.04386825,0.0000872148],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6095508,0.004688015,0.04485412,0.1378911,0.0006865409,0.0001338643,0.0004414579,0.0002848003,0.2014693],"genre_scores_gemma":[0.9933832,0.0005637686,0.001292289,0.001558853,0.0001511455,0.0000194519,0.00002087788,0.0000179925,0.002992427],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007974045,"threshold_uncertainty_score":0.02667588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0643358693406405,"score_gpt":0.2971860387776674,"score_spread":0.2328501694370269,"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."}}