{"id":"W4390650889","doi":"10.23977/jaip.2023.060902","title":"The Application of Artificial Intelligence in Enterprise Auditing","year":2023,"lang":"en","type":"article","venue":"Journal of Artificial Intelligence Practice","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Audit; Computer science; Knowledge management; Business; Artificial intelligence; Accounting","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":[0.006277037,0.0005123841,0.0005811492,0.003747222,0.001278157,0.006423336,0.001184588,0.001907329,0.00219119],"category_scores_gemma":[0.01417405,0.0003909526,0.0005423839,0.004232108,0.005609816,0.005210085,0.002496009,0.002544738,0.000642465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002628996,"about_ca_system_score_gemma":0.002638972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002435734,"about_ca_topic_score_gemma":0.001854384,"domain_scores_codex":[0.9926326,0.004176118,0.0004407061,0.0004933933,0.002057062,0.0002001697],"domain_scores_gemma":[0.9880422,0.008974378,0.0006239873,0.0008929839,0.001224249,0.0002421979],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006735911,0.0001628938,0.006061783,0.001756447,0.0001390889,0.0005107267,0.001661361,0.01159189,0.001024494,0.5793113,0.01436441,0.3833483],"study_design_scores_gemma":[0.00002213282,0.00009391914,0.004487765,0.002249145,0.00004495618,0.0005848729,0.001699664,0.02507452,0.001298389,0.7760314,0.1883141,0.00009911818],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03554425,0.2013166,0.2747889,0.1075055,0.003403934,0.000451933,0.000286612,0.0005379074,0.3761644],"genre_scores_gemma":[0.6175731,0.1377133,0.2186254,0.008408361,0.003314431,0.0003131593,0.0002057423,0.0001035542,0.01374297],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006423336,"threshold_uncertainty_score":0.03319657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1812726337106269,"score_gpt":0.4566140041696514,"score_spread":0.2753413704590244,"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."}}