{"id":"W4400482730","doi":"10.55016/ojs/cpai.v5i2.76959","title":"From the History of Contract Cheating to the New Challenges of Artificial Intelligence: The Changing Landscape of Academic Integrity","year":2023,"lang":"en","type":"article","venue":"Canadian Perspectives on Academic Integrity","topic":"Academic integrity and plagiarism","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Cheating; Academic integrity; Business; Computer science; Engineering ethics; Artificial intelligence; Psychology; Engineering; Social psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01316892,0.0004303064,0.0008104549,0.004775052,0.03394587,0.03092821,0.003513112,0.01141803,0.01099363],"category_scores_gemma":[0.03691575,0.0005343701,0.0005180923,0.008627559,0.07676411,0.01714845,0.007809365,0.02054309,0.001206606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.100246,"about_ca_system_score_gemma":0.1267301,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7414778,"about_ca_topic_score_gemma":0.8157578,"domain_scores_codex":[0.9795713,0.004435091,0.0004727857,0.001108067,0.01052303,0.003889648],"domain_scores_gemma":[0.9530472,0.01825555,0.002460809,0.002571577,0.01659022,0.007074655],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002036694,0.00001539778,0.0006217008,0.0001953917,0.00001022905,0.0002988736,0.03604815,0.0001361243,0.00008517159,0.6428716,0.2833789,0.03631808],"study_design_scores_gemma":[0.000003194115,0.000005626393,0.000637805,0.0004532013,0.000004942239,0.0001202912,0.01230979,0.00005593056,0.00007869027,0.03362827,0.952664,0.00003826775],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.005656533,0.07978258,0.00163554,0.7568377,0.009543353,0.00001963064,0.0001624959,0.00006224554,0.1462999],"genre_scores_gemma":[0.4895316,0.1983141,0.00221775,0.1772634,0.02146513,0.00005835331,0.0002498319,0.0004936841,0.1104062],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7414778,"threshold_uncertainty_score":0.7273391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07485073162746717,"score_gpt":0.3328561691519013,"score_spread":0.2580054375244342,"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."}}