{"id":"W4409156298","doi":"10.1109/trustcom63139.2024.00279","title":"NLP and Neural Networks for Insider Threat Detection","year":2024,"lang":"en","type":"article","venue":"","topic":"Information and Cyber Security","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Insider threat; Insider; Artificial intelligence; Natural language processing; Artificial neural network","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000746014,0.00003968946,0.00003234598,0.00003103773,0.00006238616,0.000263135,0.00006604937,0.00002656932,0.000007342312],"category_scores_gemma":[0.000003392322,0.00003041873,0.00002035122,0.00009424785,0.000007857266,0.0006136649,0.00004236828,0.0000448185,0.000005872053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007133337,"about_ca_system_score_gemma":0.000005391025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009949837,"about_ca_topic_score_gemma":0.00003720614,"domain_scores_codex":[0.9997129,0.000005062292,0.00006753674,0.00008937502,0.00004281679,0.00008233147],"domain_scores_gemma":[0.9998378,0.00003071849,0.000006737058,0.00008010576,0.00001900906,0.00002564101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002822234,0.000004285826,0.00002882858,0.00002420614,0.000007278667,0.000001417239,0.001035923,0.0002816734,0.00002658859,0.3905158,0.002306456,0.6057647],"study_design_scores_gemma":[0.00005718278,0.0000232946,0.0002591955,0.000002178812,0.000001337625,0.00001616797,0.0000129898,0.9869045,0.000358666,0.003185684,0.009133829,0.00004499751],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005693293,0.0001665095,0.9897742,0.000660971,0.0005791951,0.00008555641,2.260704e-7,0.0002188077,0.002821289],"genre_scores_gemma":[0.9966692,0.000007208465,0.002214708,0.0007939078,0.00005736562,0.000009427722,6.508686e-7,0.000001850572,0.0002456876],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9909759,"threshold_uncertainty_score":0.2537417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01272871896230391,"score_gpt":0.2389421443263108,"score_spread":0.2262134253640069,"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."}}