{"id":"W4285357590","doi":"10.4018/ijcini.20211001.oa9","title":"Cyber Threat Hunting","year":2022,"lang":"en","type":"article","venue":"International Journal of Cognitive Informatics and Natural Intelligence","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Canadian Nuclear Laboratories","funders":"Lawrence Berkeley National Laboratory; Government of Canada; Canadian Nuclear Laboratories; Defense Advanced Research Projects Agency; Mitacs; University of Manitoba","keywords":"Computer science; Computer security; Situation awareness; Visualization; Intelligence analysis; Event (particle physics); Artificial intelligence; Cyber-attack; Human–computer interaction; Machine learning","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001058273,0.001064492,0.0005096692,0.001538256,0.0007646774,0.002582268,0.002130366,0.0008936977,0.01398143],"category_scores_gemma":[0.00475344,0.0004920817,0.0006471861,0.0005243247,0.0008109531,0.002988877,0.002740705,0.00104089,0.002503486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003430815,"about_ca_system_score_gemma":0.0005657924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008462899,"about_ca_topic_score_gemma":0.001197609,"domain_scores_codex":[0.9992225,0.0001292873,0.0000345005,0.0002167785,0.0003415025,0.00005537276],"domain_scores_gemma":[0.9973876,0.001403291,0.000176812,0.0006812335,0.0001992792,0.0001518405],"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":[0.0006048109,0.0003947704,0.01067413,0.0007968039,0.0001590705,0.001136421,0.00557235,0.02872906,0.04167744,0.05098876,0.06477462,0.7944917],"study_design_scores_gemma":[0.0001358317,0.0005281791,0.01827573,0.0005891146,0.0001291073,0.002741803,0.002652295,0.4565627,0.08282179,0.1051579,0.330099,0.000306592],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06947065,0.0004439905,0.7826228,0.0006555106,0.0002112716,0.0004902726,0.00122976,0.07565636,0.06921947],"genre_scores_gemma":[0.5335469,0.0004963379,0.4395068,0.0004505124,0.00007574281,0.0003365344,0.00193128,0.003683909,0.01997199],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01398143,"threshold_uncertainty_score":0.04677254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01291636000388051,"score_gpt":0.3009066349432626,"score_spread":0.2879902749393821,"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."}}