{"id":"W3121984271","doi":"","title":"The Impact of Technology on Academic Dishonesty: Perspectives from Accounting Faculty","year":2017,"lang":"en","type":"article","venue":"The Accounting educators' journal","topic":"Academic integrity and plagiarism","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Academic dishonesty; Academic integrity; Dishonesty; Medical education; Cheating; Psychology; Control (management); Test (biology); Perspective (graphical); Accounting; Medicine; Business; Social psychology; Management; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.01007946,0.0002973203,0.0003387822,0.003182562,0.01015964,0.01179966,0.001121026,0.002515316,0.003313038],"category_scores_gemma":[0.04369489,0.0003640557,0.0003781655,0.003252714,0.01038897,0.007138033,0.005257023,0.002870683,0.00049319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005287345,"about_ca_system_score_gemma":0.005511859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008604855,"about_ca_topic_score_gemma":0.009050237,"domain_scores_codex":[0.9849092,0.008589867,0.0006378435,0.0004398932,0.00358538,0.001837738],"domain_scores_gemma":[0.9078075,0.06065603,0.01463847,0.001866932,0.008559349,0.006471728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000987918,0.0002476804,0.1365768,0.0002653839,0.00002475924,0.002488524,0.7926043,0.0002877584,0.001562041,0.007313997,0.00330199,0.05522799],"study_design_scores_gemma":[0.000006106303,0.0002474611,0.03952137,0.0002576816,0.00002190738,0.001163006,0.9303161,0.0002337257,0.001253252,0.00132385,0.02560316,0.00005239734],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9587913,0.002040456,0.0007502588,0.01565296,0.00007364429,0.00001631474,0.00003247106,0.00001942989,0.02262328],"genre_scores_gemma":[0.9956107,0.001566414,0.0001242797,0.001271369,0.00007314943,0.000006068145,0.000008901945,0.00000764945,0.00133153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9974847,"threshold_uncertainty_score":0.05330592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02579370108001666,"score_gpt":0.3799167651570817,"score_spread":0.3541230640770651,"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."}}