{"id":"W4387667885","doi":"10.2139/ssrn.4601781","title":"Information Integrity, Academic Integrity, and Generative AI","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Data integrity; Academic integrity; Structural integrity; Generative grammar; Research integrity; Computer science; Artificial intelligence; Computer security; Engineering; Engineering ethics; Library science","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":["metaresearch","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.01575681,0.0004130739,0.0009489766,0.002936183,0.004150282,0.01150396,0.002013474,0.003501325,0.00741752],"category_scores_gemma":[0.07517547,0.0005165479,0.001091719,0.003604255,0.03006535,0.01719889,0.006370192,0.004686622,0.001155376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003242799,"about_ca_system_score_gemma":0.005188571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003974204,"about_ca_topic_score_gemma":0.001897985,"domain_scores_codex":[0.9826776,0.009980325,0.001165573,0.001882736,0.003085451,0.00120827],"domain_scores_gemma":[0.89779,0.05991075,0.007505519,0.02578303,0.007225012,0.001785602],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003412822,0.00002583484,0.001317834,0.0000504684,0.00002040491,0.00005566979,0.001232994,0.001146236,0.00008472381,0.9834896,0.001153543,0.0113885],"study_design_scores_gemma":[0.000006958603,0.000008219326,0.0001928564,0.0000243099,0.000009428682,0.00007447127,0.0002521152,0.001889385,0.0002258533,0.9934549,0.003854311,0.000007273966],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1064268,0.010049,0.3501765,0.1002556,0.0007083766,0.0001394614,0.0006029219,0.0006716978,0.4309697],"genre_scores_gemma":[0.9768809,0.001188968,0.01426862,0.001508652,0.0003713712,0.00005295832,0.0001763016,0.00007822002,0.005474017],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9964987,"threshold_uncertainty_score":0.08333099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09696725589307582,"score_gpt":0.4261219736724745,"score_spread":0.3291547177793986,"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."}}