{"id":"W4379655711","doi":"10.29322/ijsrp.13.05.2023.p13733","title":"Perception of Artificial Intelligence in the Auditing Industry of British Columbia","year":2023,"lang":"en","type":"article","venue":"International Journal of Scientific and Research Publications","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Audit; Perception; Artificial intelligence; Business; Psychology; Computer science; Accounting","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":[0.001527263,0.0001271788,0.0001588798,0.001595762,0.00480714,0.004804784,0.0006323119,0.0007086965,0.005637122],"category_scores_gemma":[0.00793233,0.0002168238,0.0001051049,0.00202384,0.001831852,0.0006619387,0.001496281,0.001383187,0.0003688086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02332447,"about_ca_system_score_gemma":0.01889211,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9572847,"about_ca_topic_score_gemma":0.9732333,"domain_scores_codex":[0.9983171,0.000423061,0.00007345853,0.0001113563,0.0006782096,0.0003967756],"domain_scores_gemma":[0.9886897,0.002362946,0.001042582,0.0001688199,0.005187826,0.002548172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0007475402,0.0003588517,0.7234718,0.000164622,0.00005396439,0.002114018,0.1870956,0.001233487,0.00562699,0.008858131,0.01342935,0.05684568],"study_design_scores_gemma":[0.00001182507,0.00008133984,0.5992577,0.0002161105,0.00001456427,0.0001964712,0.3669316,0.002068364,0.0006776307,0.0006682114,0.02980715,0.00006904889],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9842547,0.0001389933,0.00007373427,0.002113374,0.00001010434,0.00001159281,0.00006125309,0.000004352,0.01333196],"genre_scores_gemma":[0.9951356,0.0001581462,0.00005245555,0.0002063753,0.000001833771,0.000002890037,0.0000300397,0.000003922927,0.004408876],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04271531,"threshold_uncertainty_score":0.1692317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3418893305339845,"score_gpt":0.5002561461832903,"score_spread":0.1583668156493058,"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."}}