{"id":"W2265010566","doi":"10.2139/ssrn.2497935","title":"Mapping Corruption & its Institutional Determinants in Brazil","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Corruption and Economic Development","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Language change; Parliament; Plague (disease); Political corruption; Procurement; State (computer science); Politics; Government (linguistics); Government procurement; Political science; Public administration; Development economics; Business; Economics; Geography; Law","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":[],"consensus_categories":[],"category_scores_codex":[0.003780559,0.00008103219,0.0001180469,0.0001869534,0.000532897,0.00007510498,0.0001924432,0.00007173932,0.0002414309],"category_scores_gemma":[0.0002225223,0.00008568237,0.00004941627,0.0001770175,0.00005690814,0.0003137238,0.0000240719,0.0006180576,0.0004542065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002233566,"about_ca_system_score_gemma":0.002661132,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002118401,"about_ca_topic_score_gemma":0.04375951,"domain_scores_codex":[0.9979694,0.0001309074,0.000283271,0.0001436734,0.0001996898,0.001273008],"domain_scores_gemma":[0.9996537,0.00003491818,0.0001148041,0.00005815082,0.00004754327,0.00009090053],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002825864,0.00006613191,0.05962709,0.000004531597,0.00001699566,0.000001991428,0.005373927,0.0001393937,0.0001325519,0.2891144,0.00005671569,0.645438],"study_design_scores_gemma":[0.00176046,0.00006867884,0.09971926,0.0001083835,0.000006586718,0.0002330551,0.00763836,0.0008144372,0.00001106514,0.07707866,0.8120382,0.0005228524],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9750116,0.0001685824,0.007389835,0.001172269,0.0007846814,0.00009236777,4.101227e-7,0.0000258803,0.01535439],"genre_scores_gemma":[0.9909259,0.001599621,0.00008017937,0.0002176729,0.0003357018,0.000004717182,0.000001501342,0.000005705503,0.00682898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8119815,"threshold_uncertainty_score":0.9736894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02554307673653712,"score_gpt":0.3027206997752684,"score_spread":0.2771776230387313,"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."}}