{"id":"W4281816401","doi":"10.1080/23322039.2022.2085266","title":"Corporate governance and earnings management in banks: An empirical evidence from India","year":2022,"lang":"en","type":"article","venue":"Cogent Economics & Finance","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Gender diversity; Corporate governance; Accounting; Context (archaeology); Business; Earnings; Panel data; Diversity (politics); Earnings management; Empirical research; Financial system; Economics; Finance; Political science; Econometrics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00043566,0.0002720586,0.000338827,0.0001045824,0.0002664701,0.0001662275,0.0005610758,0.00005216756,0.0002185648],"category_scores_gemma":[0.00002582186,0.0003386271,0.00005670459,0.0004484466,0.00007764416,0.00170217,0.0006560672,0.0003049693,0.0001383858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002252663,"about_ca_system_score_gemma":0.00005179314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009348807,"about_ca_topic_score_gemma":0.0004395297,"domain_scores_codex":[0.9981081,0.00002276696,0.0004620223,0.0008415721,0.0001642057,0.0004013339],"domain_scores_gemma":[0.9984816,0.00004645045,0.000952819,0.0004675399,0.00003211751,0.00001945624],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001933532,0.0001184384,0.9719485,0.0000374135,0.0000151919,0.0001250945,0.0001282933,0.004255242,0.00002828977,0.005896232,0.002606707,0.01464726],"study_design_scores_gemma":[0.0006759621,0.00002858987,0.8313562,0.00006153653,0.00001759619,0.000002528506,0.00005653656,0.006835099,0.00001057657,0.002212739,0.1583811,0.0003616247],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963587,0.000807203,0.00009048561,0.0008484211,0.0004758698,0.0003664658,0.00006927674,0.00004707338,0.0009365179],"genre_scores_gemma":[0.9936997,0.002164461,0.0003612444,0.002704192,0.0002498035,0.0001729512,0.00004716892,0.00003850043,0.0005619583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1557744,"threshold_uncertainty_score":0.9999066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04722466548441692,"score_gpt":0.2272921909347652,"score_spread":0.1800675254503482,"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."}}