{"id":"W4220963410","doi":"10.1111/jbfa.12603","title":"Political connections, tacit power and corporate misconduct","year":2022,"lang":"en","type":"article","venue":"Journal of Business Finance &amp Accounting","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Canterbury; Macquarie University; York University; University of Otago","keywords":"Misconduct; Politics; Settlement (finance); Shareholder; Enforcement; Accounting; Commission; Audit; Business; Power (physics); Economics; Monetary economics; Political science; Law; Corporate governance; Finance; Payment","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00140412,0.0003115902,0.0005143278,0.0005269369,0.0008804284,0.0005838126,0.0005187253,0.00006198391,0.0004826305],"category_scores_gemma":[0.005543544,0.0003201428,0.0001280809,0.001487668,0.00014203,0.002831294,0.0007087457,0.0007602643,0.00005242556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000163011,"about_ca_system_score_gemma":0.0001083683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001866435,"about_ca_topic_score_gemma":0.00001809864,"domain_scores_codex":[0.997275,0.00003068191,0.0008628155,0.0003787907,0.000811899,0.0006408108],"domain_scores_gemma":[0.9770491,0.0001007043,0.02169362,0.0002631843,0.0008689571,0.00002443204],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004378639,0.000607459,0.5233498,0.0008022909,0.0002582476,0.0006848993,0.0002617912,0.007425311,0.003046567,0.3764991,0.05335008,0.03327655],"study_design_scores_gemma":[0.001257589,0.0000275182,0.1912294,0.0001973156,0.0001162603,0.0003465227,0.0007439601,0.0003588734,0.00002316291,0.006367276,0.7987785,0.0005536709],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.967752,0.0005107567,0.02279077,0.003831518,0.001729145,0.000180249,0.000008525894,0.00006600894,0.003131004],"genre_scores_gemma":[0.9943352,0.00003095904,0.000595294,0.002755973,0.001500195,0.00001367656,0.000007588962,0.00006433937,0.0006967927],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7454284,"threshold_uncertainty_score":0.9999251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02069379146561317,"score_gpt":0.2190336943869226,"score_spread":0.1983399029213094,"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."}}