{"id":"W2502452951","doi":"10.1257/aer.20130874","title":"Monitoring Corruptible Politicians","year":2016,"lang":"en","type":"article","venue":"American Economic Review","topic":"Corruption and Economic Development","field":"Social Sciences","cited_by":217,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; Canadian Institute for Advanced Research","keywords":"Audit; Language change; Accounting; Business; Public administration; Political science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003491752,0.0001215076,0.0002361669,0.0008388266,0.0004044277,0.001001865,0.0002729034,0.0003877795,0.001913885],"category_scores_gemma":[0.02272335,0.0001303751,0.0001270738,0.001139826,0.0005363104,0.0006055151,0.0005321002,0.0004557075,0.00024931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001322404,"about_ca_system_score_gemma":0.001998101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01786598,"about_ca_topic_score_gemma":0.02575056,"domain_scores_codex":[0.9977176,0.001311395,0.00008393918,0.0001801461,0.0003377266,0.0003691138],"domain_scores_gemma":[0.9751437,0.004367584,0.01566839,0.001333338,0.002504744,0.0009823161],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001958795,0.0001394167,0.8830734,0.0003152132,0.0001249625,0.0001268773,0.00143858,0.001927779,0.001609763,0.007621259,0.008512595,0.09491431],"study_design_scores_gemma":[0.00003537432,0.0001361559,0.9728808,0.0001583527,0.00007527789,0.00006693445,0.002200158,0.001793962,0.0009017256,0.003697313,0.01803979,0.00001421689],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9697646,0.002513317,0.00153596,0.00800366,0.00005944979,0.00005142743,0.0005197481,0.00002522771,0.01752674],"genre_scores_gemma":[0.9975948,0.0009078287,0.0002470498,0.0002122433,0.0000437697,0.00001088893,0.00009431039,0.000001902243,0.0008873175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01786598,"threshold_uncertainty_score":0.03552401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03878069031576033,"score_gpt":0.3554099785993788,"score_spread":0.3166292882836185,"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."}}