{"id":"W7099257379","doi":"","title":"Does Auditor Industry Specialization Improve Audit Quality? Evidence from Comparable Clients","year":2010,"lang":"en","type":"article","venue":"","topic":"Intelligence, Security, War Strategy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Audit; Matching (statistics); Extant taxon; Quality audit; Quality (philosophy); Inherent risk (accounting); Sample (material); Auditor independence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01240571,0.000208243,0.0006844743,0.00149882,0.001075869,0.002097389,0.001054361,0.001304434,0.008874718],"category_scores_gemma":[0.07356513,0.0004090526,0.000570478,0.002570813,0.001216266,0.001179453,0.002301072,0.0009699058,0.0008707432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001978751,"about_ca_system_score_gemma":0.002213816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01007141,"about_ca_topic_score_gemma":0.009341626,"domain_scores_codex":[0.9846823,0.008425501,0.000913135,0.001380451,0.003209535,0.001389106],"domain_scores_gemma":[0.8863697,0.04888108,0.04159877,0.0084994,0.009193514,0.005457588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007518295,0.0004726521,0.9779077,0.00007509491,0.0001304762,0.0001360721,0.00118736,0.0001738598,0.0001203734,0.0002509579,0.0005423178,0.01825129],"study_design_scores_gemma":[0.0000861833,0.0005115406,0.9944693,0.0001051497,0.000144875,0.0003726644,0.002077642,0.0005442539,0.0003894265,0.0004291555,0.0008590558,0.00001090903],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996924,0.000390679,0.0001726976,0.0003717313,0.000004589397,0.00001926111,0.00007081049,0.000004342652,0.00204187],"genre_scores_gemma":[0.999297,0.0001708812,0.00007349467,0.00009715574,0.00001194337,0.000008561646,0.00005474938,0.000002379842,0.0002837099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01240571,"threshold_uncertainty_score":0.06560844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05525532027579777,"score_gpt":0.3858867987170418,"score_spread":0.330631478441244,"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."}}