{"id":"W4390952029","doi":"10.23977/jaip.2023.060812","title":"The Application of Artificial Intelligence in Enterprise Auditing","year":2023,"lang":"en","type":"article","venue":"Journal of Artificial Intelligence Practice","topic":"Research studies in Vietnam","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Audit; Computer science; Mindset; Audit plan; Information technology audit; Performance audit; Joint audit; Scope (computer science); Business intelligence; Internal audit; Work (physics); Information security audit; Process management; Knowledge management; Business; Accounting; Artificial intelligence; Engineering; Computer security","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":[0.003805128,0.0003403779,0.0003698175,0.002365275,0.001090277,0.004460092,0.000819672,0.001150841,0.002071044],"category_scores_gemma":[0.007916738,0.0002504378,0.0003700562,0.003026317,0.003772127,0.003298034,0.001695714,0.001538279,0.0004351877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00232178,"about_ca_system_score_gemma":0.002799839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003724427,"about_ca_topic_score_gemma":0.002650426,"domain_scores_codex":[0.9952178,0.00279594,0.0002782328,0.0003180844,0.001230281,0.0001597543],"domain_scores_gemma":[0.9945801,0.003788393,0.0003023485,0.0004377794,0.0007402768,0.0001510618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004682011,0.0001260829,0.006378847,0.001601376,0.00008749527,0.0005700546,0.00256889,0.007852205,0.001176137,0.4982337,0.01310393,0.4682545],"study_design_scores_gemma":[0.00001884148,0.0001200011,0.008047715,0.00270141,0.00004480204,0.000783156,0.003374302,0.02244557,0.001873065,0.6134837,0.34701,0.00009737563],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05207305,0.1849557,0.2103162,0.07886639,0.002880306,0.0004464566,0.0002202705,0.0004749585,0.4697666],"genre_scores_gemma":[0.7026147,0.114759,0.1575334,0.00501775,0.001723111,0.0002071962,0.0001453185,0.00007741618,0.01792216],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004460092,"threshold_uncertainty_score":0.02012372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05115084884072752,"score_gpt":0.3894133173915131,"score_spread":0.3382624685507856,"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."}}