{"id":"W4213010090","doi":"10.5267/j.ac.2021.10.001","title":"A new method for measuring audit expectation gap","year":2022,"lang":"en","type":"article","venue":"Accounting","topic":"Research studies in Vietnam","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Audit; Empirical research; Computer science; Data science; Accounting; Business; Mathematics; Statistics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001128558,0.00007305834,0.00008829464,0.00002985947,0.0007469561,0.00003669629,0.0002891683,0.00001214296,0.002501796],"category_scores_gemma":[0.0004800815,0.00007661196,0.0000510165,0.0002486052,0.00001919848,0.0002269168,0.0007492058,0.0001238574,0.00006743963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003438312,"about_ca_system_score_gemma":0.00001601479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004359004,"about_ca_topic_score_gemma":0.00004308243,"domain_scores_codex":[0.9987195,0.0000604341,0.0001357866,0.0002595748,0.0005208176,0.0003038626],"domain_scores_gemma":[0.9995006,0.0002163199,0.00007530503,0.0001609769,0.000008307404,0.00003850732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008921816,0.00008043659,0.08950069,0.00005422849,0.00008488401,0.00001038558,0.009516057,0.03870561,0.07021341,0.0007408301,0.2351575,0.5558468],"study_design_scores_gemma":[0.002371391,0.0003358067,0.08600885,0.00003041153,0.00006306745,0.00003275119,0.01402298,0.0876409,0.009105722,0.01769513,0.7816066,0.0010864],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2809645,0.0003730396,0.5967823,0.003610217,0.001263445,0.002028903,0.00001351917,0.0003071437,0.1146569],"genre_scores_gemma":[0.7406158,0.000006309059,0.2553641,0.0003497179,0.0002901543,0.0004944486,0.000005476998,0.00003274002,0.002841213],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5547603,"threshold_uncertainty_score":0.99841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04587811499544587,"score_gpt":0.3421695192251035,"score_spread":0.2962914042296576,"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."}}