{"id":"W4377204063","doi":"10.2139/ssrn.4454886","title":"Does Combating Corruption Reduce Clientelism?","year":2023,"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":"University of Toronto","funders":"","keywords":"Clientelism; Language change; Business; Political science; Development economics; Economics; Politics; Law; Democracy","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":[0.002126706,0.0001855563,0.000384145,0.0005450799,0.001021078,0.002551665,0.0005587944,0.001795511,0.01765838],"category_scores_gemma":[0.01695786,0.0001108113,0.0002049232,0.0007007853,0.002187725,0.001987354,0.00137423,0.00163864,0.001643275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001394214,"about_ca_system_score_gemma":0.006077554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004210365,"about_ca_topic_score_gemma":0.01061069,"domain_scores_codex":[0.9978946,0.0009891231,0.00003989479,0.00008603602,0.0002999354,0.0006905081],"domain_scores_gemma":[0.988423,0.00407677,0.002894358,0.0007909728,0.001392352,0.002422496],"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":[0.0008721155,0.004186362,0.1127654,0.0007470306,0.0002587897,0.000454119,0.005193467,0.003547834,0.003095687,0.417992,0.05834834,0.392539],"study_design_scores_gemma":[0.0008190446,0.001950474,0.3829847,0.001808754,0.0003186002,0.0006095833,0.02237889,0.01020027,0.006418589,0.4522222,0.1201937,0.00009515452],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6041885,0.002237387,0.002391954,0.2357007,0.0005390472,0.00007322723,0.0002066727,0.0001159526,0.1545466],"genre_scores_gemma":[0.9918329,0.0005004932,0.0002856482,0.002407337,0.0001106142,0.00001594275,0.0000162302,0.000009599251,0.004821187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01765838,"threshold_uncertainty_score":0.05907315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0241543445991158,"score_gpt":0.3137297666099617,"score_spread":0.2895754220108459,"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."}}