{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001380215,0.0008874878,0.0009513081,0.001472452,0.0003979712,0.001454845,0.001332602,0.001035005,0.001166596],"category_scores_gemma":[0.003939652,0.0003276546,0.0007776986,0.0006917972,0.000652628,0.002150151,0.0008826963,0.00119917,0.0006365117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007829757,"about_ca_system_score_gemma":0.0006255547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002426106,"about_ca_topic_score_gemma":0.002197828,"domain_scores_codex":[0.9985747,0.0003921493,0.0001083,0.000317442,0.0004897472,0.0001176643],"domain_scores_gemma":[0.9977056,0.001091591,0.0003472637,0.000364607,0.0004258604,0.00006497854],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002268687,0.0003522635,0.01091384,0.0001449107,0.0001249229,0.0002611355,0.0001612595,0.7616186,0.01633729,0.006993855,0.001897578,0.2009675],"study_design_scores_gemma":[0.000001514565,0.00002689092,0.0006862056,0.000004666858,0.000005119834,0.00003440028,0.00000764677,0.9944764,0.002598434,0.001829695,0.0003229957,0.000006008375],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06185407,0.0002420836,0.9333665,0.0002193835,0.00003185052,0.0001029059,0.0002039005,0.002428693,0.001550587],"genre_scores_gemma":[0.7951038,0.0002076871,0.2019611,0.0001025373,0.00004537802,0.0001351903,0.0005466627,0.00006923427,0.001828316],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002426106,"threshold_uncertainty_score":0.007299364,"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."}}