{"id":"W4288471853","doi":"10.2139/ssrn.4156905","title":"How to Implement a Data Analytics Enabled Accounting Curriculum","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Data science; Accounting; Analytics; Curriculum; Data analysis; Computer science; Business; Data mining; Psychology; Pedagogy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01187793,0.0004639266,0.0003492669,0.00202329,0.003768398,0.01291874,0.00220492,0.003367232,0.02667233],"category_scores_gemma":[0.01993307,0.0005208342,0.0006814883,0.0011731,0.001455553,0.009334528,0.009585797,0.004985926,0.01375323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005837511,"about_ca_system_score_gemma":0.05455912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007524071,"about_ca_topic_score_gemma":0.01191506,"domain_scores_codex":[0.9935147,0.001500322,0.0003892969,0.0005979671,0.002683125,0.001314597],"domain_scores_gemma":[0.9761,0.001797281,0.001132863,0.001647299,0.007687342,0.01163525],"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":[0.00007502089,0.004139868,0.01284602,0.0004531319,0.00002682836,0.0003631314,0.002522439,0.003294245,0.004333196,0.1613293,0.1917294,0.6188874],"study_design_scores_gemma":[0.000087294,0.0003457873,0.01626363,0.0009272255,0.00003358859,0.0002005667,0.006567121,0.006708289,0.009806752,0.09659289,0.8623621,0.000104645],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.07831726,0.001195525,0.1665309,0.3295686,0.008062922,0.003081895,0.00110478,0.004744945,0.4073932],"genre_scores_gemma":[0.2959951,0.001354268,0.4421715,0.02862518,0.0009156266,0.001402381,0.00129044,0.0005312136,0.2277144],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.02667233,"threshold_uncertainty_score":0.08922786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05670373817063632,"score_gpt":0.2931826936304225,"score_spread":0.2364789554597862,"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."}}