{"id":"W4409603844","doi":"10.61091/jcmcc127b-162","title":"Research on Audit Data Anomaly Detection and Risk Assessment Method Based on Data Mining Technology","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Imbalanced Data Classification Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Yunnan University; Tianjin University; Tianjin University of Technology","keywords":"Anomaly detection; Audit; Data mining; Anomaly (physics); Data science; Computer science; Business; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01139287,0.0002621184,0.0006118993,0.001213296,0.0006498821,0.0006420708,0.003533925,0.0002487679,0.000001053926],"category_scores_gemma":[0.002487833,0.0002372914,0.00004008917,0.001369286,0.0001391365,0.0006142269,0.002906569,0.001267854,0.000001149252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000174197,"about_ca_system_score_gemma":0.0004250346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001232487,"about_ca_topic_score_gemma":0.00000103576,"domain_scores_codex":[0.9962682,0.0006460508,0.0009952855,0.0007368438,0.0009808416,0.0003727934],"domain_scores_gemma":[0.991984,0.003563352,0.001057198,0.002545012,0.0007330248,0.0001174261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007894143,0.0006831622,0.000393793,0.0001301045,0.0001074779,0.00001814297,0.00008569568,0.00005357107,0.0005047524,0.9095399,0.001423683,0.0869808],"study_design_scores_gemma":[0.002180132,0.001174455,0.0004793454,0.0005898045,0.00005903565,0.00002380907,0.0001690167,0.6915972,0.001575585,0.2994338,0.00250161,0.0002162052],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03525255,0.00009407989,0.9559472,0.001284421,0.005820499,0.0003964269,0.00002430301,0.0001396816,0.001040854],"genre_scores_gemma":[0.703099,0.00005391699,0.2964997,0.00003624052,0.0002815957,0.000003499193,0.000007139017,0.00001568774,0.000003281469],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6915436,"threshold_uncertainty_score":0.9676462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06909951381157049,"score_gpt":0.4040861612218774,"score_spread":0.3349866474103069,"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."}}