{"id":"W2577898723","doi":"10.1111/auar.12169","title":"Does the Presence of Female Executives Curb Earnings Management? Evidence from Korea","year":2017,"lang":"en","type":"article","venue":"Australian Accounting Review","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McMaster University","funders":"","keywords":"Earnings management; Accrual; Accounting; Gender diversity; Dominance (genetics); Business; Diversity (politics); Earnings; Sample (material); Demographic economics; Corporate governance; Economics; Political science; Finance; Biology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002794017,0.0001856368,0.0002551467,0.0006483077,0.0004194429,0.0009511544,0.0004212985,0.0004104491,0.002873119],"category_scores_gemma":[0.007659453,0.0001612657,0.0002950134,0.0007931953,0.0006936934,0.000655225,0.0008305617,0.000414652,0.0002631124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003280509,"about_ca_system_score_gemma":0.0007952099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01011167,"about_ca_topic_score_gemma":0.01963361,"domain_scores_codex":[0.99862,0.0006746292,0.000101482,0.0001682375,0.0001841889,0.0002515189],"domain_scores_gemma":[0.9823759,0.004820121,0.009712446,0.0005701039,0.001357207,0.001164248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002594036,0.0001279378,0.9770759,0.0002543251,0.0001710987,0.0004220333,0.002162767,0.00003697705,0.0002493851,0.0003865615,0.0008656878,0.01798804],"study_design_scores_gemma":[0.00001406247,0.0001363578,0.9915801,0.0001684375,0.0001103503,0.0001893979,0.004949687,0.0000489722,0.0001593317,0.00008701978,0.002549164,0.000007092381],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994817,0.001910483,0.00003474841,0.0007589941,0.00001341744,0.000005225298,0.00008619476,0.0000010058,0.002372964],"genre_scores_gemma":[0.998645,0.0007391142,0.00002129507,0.0002389776,0.00001295425,0.000001895655,0.00003972766,0.00000101036,0.000299967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01011167,"threshold_uncertainty_score":0.0201056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03373666709846758,"score_gpt":0.286714113130683,"score_spread":0.2529774460322154,"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."}}