{"id":"W3036316459","doi":"10.1177/0007650320928502","title":"Political Corruption and Cost of Equity","year":2020,"lang":"en","type":"article","venue":"Business & Society","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; Memorial University of Newfoundland","funders":"Social Sciences and Humanities Research Council of Canada; Memorial University of Newfoundland; Concordia University","keywords":"Equity (law); Language change; Instrumental variable; Politics; Public economics; Economics; Propensity score matching; Situated; Political science; Econometrics; Law","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":[0.0009008882,0.000114853,0.0001960173,0.001219804,0.0004257066,0.001524132,0.0002063044,0.0003216162,0.003976838],"category_scores_gemma":[0.01016621,0.00009144314,0.0002044081,0.001775726,0.0008387323,0.0007551364,0.001147396,0.0008750712,0.0002115139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001324351,"about_ca_system_score_gemma":0.0005184366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006984266,"about_ca_topic_score_gemma":0.01387591,"domain_scores_codex":[0.9987599,0.0003146454,0.0000867898,0.0001208422,0.0003672007,0.0003506199],"domain_scores_gemma":[0.9804665,0.003769516,0.01260079,0.0007827709,0.001240189,0.001140098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000411751,0.00009069392,0.9836636,0.0000156461,0.00007332608,0.00006078894,0.0001260639,0.001247055,0.0001016567,0.007596701,0.001086467,0.005896917],"study_design_scores_gemma":[0.000006455763,0.0000327771,0.9894667,0.00002711668,0.00002381224,0.0001466392,0.0004809491,0.002226778,0.0002927058,0.005072503,0.002214707,0.000008949111],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9815045,0.0003951093,0.0008214544,0.0008055188,0.00001727551,0.00002037411,0.0006568803,0.000009552928,0.01576931],"genre_scores_gemma":[0.9992403,0.00005301633,0.00004844814,0.00002267654,0.000007721864,0.000002849957,0.0001232946,0.000001442531,0.0005002539],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006984266,"threshold_uncertainty_score":0.01388723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05254541750902386,"score_gpt":0.2599518740074268,"score_spread":0.2074064564984029,"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."}}