{"id":"W2097194560","doi":"10.5539/res.v6n2p63","title":"Explaining Differences in Learning Outcomes in Auditing Education - The Importance of Background Factors, Prior Knowledge and Intellectual Skills","year":2014,"lang":"en","type":"article","venue":"Review of European Studies","topic":"Accounting Education and Careers","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Audit; Psychology; Schema (genetic algorithms); Perspective (graphical); Procedural knowledge; Descriptive knowledge; Task (project management); Knowledge management; Accounting; Body of knowledge; Computer science; Business; Management","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":[0.001477718,0.0001222755,0.0003882789,0.0001249182,0.00008119179,0.00002814963,0.0001472707,0.00000978153,0.00001944859],"category_scores_gemma":[0.004136682,0.00007777342,0.00004018355,0.0003111938,0.00009157469,0.0002245543,0.0001617713,0.0001144798,0.000007051388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001645489,"about_ca_system_score_gemma":0.00001796608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000200915,"about_ca_topic_score_gemma":0.00005538064,"domain_scores_codex":[0.9990466,0.0001131985,0.0004738024,0.0001524337,0.0001020883,0.0001119012],"domain_scores_gemma":[0.9986488,0.0006232858,0.0004669874,0.0001107274,0.0001460318,0.000004199912],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[8.82879e-7,0.00005108307,0.9759548,0.002985204,0.00001595204,8.118272e-8,0.002242069,3.96433e-7,0.00000486391,0.0009623852,0.0007956591,0.01698664],"study_design_scores_gemma":[0.0001170406,0.000008850821,0.9508289,0.007591852,0.00003363047,2.437318e-7,0.02366879,0.00001854026,0.000002793796,0.00003910478,0.01756987,0.0001203551],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9482816,0.0397488,0.000004591681,0.0002811204,0.0001652798,0.0001544169,1.989444e-7,0.00001152584,0.01135242],"genre_scores_gemma":[0.9845974,0.01472193,0.00002467521,0.0003475324,0.0001232301,0.000007067244,0.000003695143,0.00001140983,0.0001629953],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03631582,"threshold_uncertainty_score":0.4952293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04480936940168297,"score_gpt":0.3111927941646764,"score_spread":0.2663834247629935,"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."}}