{"id":"W4412453760","doi":"10.36096/ijbes.v7i3.898","title":"Analysing the efficiency of computer-assisted audit tools and techniques within the Ekurhuleni Metropolitan Municipality","year":2025,"lang":"en","type":"article","venue":"International Journal of Business Ecosystem and Strategy (2687-2293)","topic":"Business and Economic Development","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Science North","funders":"","keywords":"Metropolitan area; Audit; Computer science; Database; Business; Geography; Accounting","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001232024,0.000161633,0.0003396285,0.0001310577,0.0001871998,0.0002575195,0.0005941601,0.00006058248,0.00006410936],"category_scores_gemma":[0.00005321572,0.00009265823,0.00007597633,0.0003134098,0.0002183423,0.0003664084,0.000251759,0.0001450914,0.000001826067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002432225,"about_ca_system_score_gemma":0.00009620756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008662795,"about_ca_topic_score_gemma":0.0005671325,"domain_scores_codex":[0.9983705,0.0001092223,0.0008582251,0.0001898013,0.0003250118,0.0001472136],"domain_scores_gemma":[0.9986662,0.0001676177,0.0007191227,0.0001824633,0.0002189553,0.00004562065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001105386,0.001749346,0.3629639,0.0009055976,0.004575253,0.000279379,0.004732725,0.03482002,0.01974767,0.08400112,0.003946278,0.4811733],"study_design_scores_gemma":[0.001042169,0.0001032758,0.968276,0.0007639839,0.000184442,0.0004951727,0.002909659,0.01809299,0.002416756,0.002264454,0.003110595,0.0003405227],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9885289,0.0002909508,0.005847462,0.001514018,0.0006143018,0.0001487717,0.00002268098,0.000009500827,0.003023427],"genre_scores_gemma":[0.9989606,0.0001316636,0.000624562,0.000118176,0.00008692042,0.000004406373,0.000003075313,0.000006239532,0.00006441079],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.605312,"threshold_uncertainty_score":0.3778493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0175665967146329,"score_gpt":0.2516149857429337,"score_spread":0.2340483890283008,"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."}}