{"id":"W3080199563","doi":"10.1111/fire.12247","title":"Political corruption shielding and corporate acquisitions","year":2020,"lang":"en","type":"article","venue":"Financial Review","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":33,"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","keywords":"Attractiveness; Leverage (statistics); Cash; Politics; Language change; Monetary economics; Robustness (evolution); Rent-seeking; Business; Cash flow; Economics; Finance; Accounting; Public economics; Political science; 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":[0.0008566611,0.0001022297,0.000169757,0.0007193763,0.0003615897,0.001129129,0.0001097409,0.0002433261,0.003941908],"category_scores_gemma":[0.008640485,0.00008282989,0.0001689663,0.0008137158,0.0006470368,0.0004519715,0.000653006,0.0005314952,0.000315498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005818926,"about_ca_system_score_gemma":0.0005697743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003529167,"about_ca_topic_score_gemma":0.005954559,"domain_scores_codex":[0.9991726,0.0003162423,0.00006427867,0.00006201187,0.0002010275,0.0001837612],"domain_scores_gemma":[0.9722596,0.004107782,0.01983432,0.0005276415,0.001350255,0.00192038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007143961,0.00007779741,0.9891064,0.00001697662,0.00004584933,0.00008000674,0.0001892433,0.0003579331,0.0002211757,0.0009882883,0.0007441587,0.008100701],"study_design_scores_gemma":[0.000001792675,0.00003012012,0.9980558,0.00001623106,0.00001602401,0.00007821585,0.0002401238,0.0002984105,0.0001423619,0.0003164379,0.0008012703,0.000003193817],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908425,0.0006105144,0.0001709074,0.000777461,0.000009323093,0.000006444395,0.0001277379,0.000006575424,0.007448602],"genre_scores_gemma":[0.9993441,0.0001144355,0.00001910602,0.00003089066,0.00001955574,0.000001222201,0.00005123975,0.000001447182,0.0004181964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003941908,"threshold_uncertainty_score":0.01318693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03593334789769936,"score_gpt":0.2443075707154709,"score_spread":0.2083742228177716,"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."}}