{"id":"W3122395789","doi":"10.1111/1911-3846.12431","title":"How Does Intrinsic Motivation Improve Auditor Judgment in Complex Audit Tasks?","year":2018,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":123,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Audit; Skepticism; Psychology; Salient; Set (abstract data type); Quality audit; Context (archaeology); Quality (philosophy); Information processing theory; Cognitive psychology; Information processing; Variety (cybernetics); Cognition; Social psychology; Applied psychology; Accounting; Computer science; Business; Artificial intelligence; Epistemology","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":[0.002910842,0.000240547,0.0003112814,0.000398308,0.0004651893,0.001872422,0.0003694223,0.0006866199,0.005952452],"category_scores_gemma":[0.03031634,0.0002653069,0.0002560128,0.0002802794,0.0005702842,0.0008779622,0.001028253,0.001063534,0.0005550499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004250699,"about_ca_system_score_gemma":0.0006089186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008002967,"about_ca_topic_score_gemma":0.001306487,"domain_scores_codex":[0.9981767,0.0009020805,0.00008208537,0.0002181547,0.0004252658,0.0001957427],"domain_scores_gemma":[0.9709215,0.01375545,0.007903326,0.002892818,0.001776683,0.0027504],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005547167,0.01625724,0.5411129,0.0008139769,0.000565543,0.0003867981,0.007606667,0.004245121,0.1362622,0.007789554,0.004209226,0.2752036],"study_design_scores_gemma":[0.0002043343,0.002140714,0.9713784,0.00008956696,0.0001314545,0.0001035872,0.0009286377,0.006930459,0.009204624,0.006051827,0.002761528,0.00007477428],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945024,0.00006606799,0.001024828,0.0002296964,0.0000150824,0.00002434742,0.00001897867,0.00003653534,0.004082206],"genre_scores_gemma":[0.9982073,0.00003026753,0.0009776172,0.00005901865,0.000009808339,0.00001531527,0.00001890776,0.00001230862,0.0006695421],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005952452,"threshold_uncertainty_score":0.0199129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05025575228130488,"score_gpt":0.2864096997768926,"score_spread":0.2361539474955877,"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."}}