{"id":"W2947769183","doi":"","title":"Machine learning based Insider Threat Modelling and Detection","year":2019,"lang":"en","type":"article","venue":"Immunotechnology","topic":"Information and Cyber Security","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Insider threat; Insider; Computer science; Granularity; Computer security; Government (linguistics); Artificial intelligence; Machine learning; Operating system","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":[0.0001288533,0.00007590475,0.00009213575,0.0001515498,0.0001022,0.000048881,0.0002212179,0.0001403932,0.00001631956],"category_scores_gemma":[0.00001143922,0.00007272974,0.00002085826,0.0001810688,0.0000288106,0.0003360073,0.0001327967,0.0003099488,0.0001225974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002088217,"about_ca_system_score_gemma":0.00001354822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007614485,"about_ca_topic_score_gemma":0.000008594828,"domain_scores_codex":[0.9994827,0.00002204119,0.0001256029,0.000150864,0.00007299287,0.0001458227],"domain_scores_gemma":[0.9995895,0.00002508642,0.00005462349,0.00028426,0.00003262934,0.0000138951],"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":[0.00005175788,0.00006862567,0.002700109,0.00006805817,0.00004646806,0.00001066386,0.002378576,0.1094487,0.01597995,0.2795536,0.000008349461,0.5896851],"study_design_scores_gemma":[0.0003238459,0.00006709529,0.0001169574,0.000005286412,0.000001285207,0.0000245302,0.00002194739,0.9737675,0.01592146,0.003277613,0.006381548,0.00009098616],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2309472,0.0002928465,0.7667805,0.0005143521,0.0001481525,0.00007744349,1.82309e-7,0.0003812782,0.0008580596],"genre_scores_gemma":[0.9942414,0.00003446516,0.005427488,0.0002174419,0.000003446623,0.000004468689,0.000001331037,0.000004176606,0.00006573995],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8643187,"threshold_uncertainty_score":0.2965833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008099389772060086,"score_gpt":0.1982176499294665,"score_spread":0.1901182601574064,"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."}}