{"id":"W3092590821","doi":"10.5430/ijfr.v11n4p475","title":"Audit Committee Chair Attributes and Audit Report Lag in an Emerging Market","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Audit committee; Accounting; Audit; Leverage (statistics); Stock exchange; Business; Profitability index; Timeline; Finance; Computer science; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008565405,0.0001148913,0.0002200505,0.001461542,0.0006129722,0.002689366,0.0003918516,0.0004198072,0.005183641],"category_scores_gemma":[0.02643798,0.0001174712,0.0002360532,0.001647853,0.0007235121,0.00173753,0.00102262,0.001073702,0.0004359394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001069647,"about_ca_system_score_gemma":0.001775021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006225291,"about_ca_topic_score_gemma":0.009149041,"domain_scores_codex":[0.9964311,0.001095859,0.0004081381,0.0003676816,0.001017873,0.0006793527],"domain_scores_gemma":[0.859508,0.02653875,0.0972118,0.003171575,0.006019016,0.007550905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001056683,0.0001325208,0.9883561,0.00001796862,0.00001945357,0.0001547077,0.0005826411,0.0001896705,0.0001245458,0.000491951,0.0005214296,0.009303375],"study_design_scores_gemma":[0.000006575147,0.0001079132,0.9952831,0.00002869051,0.00001443629,0.0001383031,0.001980075,0.0006367389,0.0001645624,0.0002753773,0.001355108,0.000009174464],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958216,0.000319249,0.0002616606,0.000614246,0.00001813916,0.00001463978,0.00009163513,0.000007880964,0.002850956],"genre_scores_gemma":[0.9994411,0.00005906416,0.00005282589,0.00003287071,0.00002113992,0.000002083322,0.00004092113,0.000001482119,0.0003484511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008565405,"threshold_uncertainty_score":0.04529876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04888342927773367,"score_gpt":0.3324363173064722,"score_spread":0.2835528880287386,"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."}}