{"id":"W2773728013","doi":"10.1111/1911-3838.12154","title":"From Plagiarism‐Plagued to Plagiarism‐Proof: Using Anonymized Case Assignments in Intermediate Accounting","year":2017,"lang":"en","type":"article","venue":"Accounting Perspectives","topic":"Academic integrity and plagiarism","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Rationalization (economics); Misconduct; Academic integrity; Computer science; Cheating; Mathematics education; Psychology; Accounting; Business; Political science; Social psychology; Library science; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"not_applicable","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["research_integrity"],"domain":null,"study_design":"design_other","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","scholarly_communication","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.004266697,0.0004402325,0.000641328,0.00043366,0.003267717,0.001475687,0.001471937,0.001545325,0.0004335441],"category_scores_gemma":[0.01021534,0.0004728481,0.0001689778,0.0003431998,0.0006323662,0.002418799,0.0005727818,0.003093805,0.0001283665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001039168,"about_ca_system_score_gemma":0.0004037565,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1829002,"about_ca_topic_score_gemma":0.01417505,"domain_scores_codex":[0.9957187,0.0004770133,0.0006703908,0.001049107,0.0009168336,0.001167919],"domain_scores_gemma":[0.9970765,0.0008249779,0.0007250688,0.0006717533,0.0004424207,0.0002593325],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004753446,0.0003817449,0.2446629,0.00003999159,0.0002965023,0.002511431,0.7243124,0.0001334961,0.006928842,0.005347677,0.003185987,0.01172366],"study_design_scores_gemma":[0.005924872,0.0001040823,0.07996289,0.001518667,0.000297235,0.0001564091,0.8659195,0.008795784,0.00449625,0.02154299,0.007984755,0.003296575],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9800699,0.0002134679,0.001775063,0.002818568,0.001547506,0.0006703645,0.0000636085,0.0001360632,0.01270551],"genre_scores_gemma":[0.9936991,0.00005338646,0.003066545,0.0004769723,0.002253715,0.00003302023,0.000008545555,0.00005493357,0.0003538356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1687252,"threshold_uncertainty_score":0.9997723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03570606692757128,"score_gpt":0.3614844814002403,"score_spread":0.325778414472669,"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."}}