{"id":"W2124260380","doi":"10.1145/1280680.1280702","title":"Detecting, analyzing and responding to security incidents","year":2007,"lang":"en","type":"article","venue":"","topic":"Information and Cyber Security","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer security; Computer science; Security information and event management; Security through obscurity; Security management; Security testing; Risk analysis (engineering); Cloud computing security; Internet privacy; Business; Cloud computing","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":[0.004136437,0.001599235,0.001125813,0.005108395,0.001260572,0.004028535,0.001798832,0.001768392,0.002203814],"category_scores_gemma":[0.0284788,0.0006724784,0.0005883861,0.00333214,0.0008778032,0.004453002,0.00161567,0.001305637,0.001413513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009405973,"about_ca_system_score_gemma":0.002277354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005469838,"about_ca_topic_score_gemma":0.006384475,"domain_scores_codex":[0.9919907,0.001841114,0.0009992594,0.001162909,0.00353153,0.000474419],"domain_scores_gemma":[0.9603945,0.01859941,0.009762034,0.003106167,0.007165689,0.000972232],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002696891,0.0008421402,0.2375863,0.001748982,0.000266788,0.0004031914,0.003854643,0.01082898,0.0197414,0.003850152,0.01009075,0.710517],"study_design_scores_gemma":[0.00009153311,0.002265625,0.5694467,0.001507596,0.0008349009,0.002824921,0.03249779,0.2160733,0.07316773,0.04178284,0.05898892,0.000518125],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5939504,0.00350212,0.3614999,0.00604074,0.0004265266,0.001571132,0.001536056,0.00652815,0.02494502],"genre_scores_gemma":[0.8031919,0.001964608,0.1885054,0.000417048,0.000209905,0.0002532099,0.001233597,0.0001355706,0.00408871],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005469838,"threshold_uncertainty_score":0.02187586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01009479700733219,"score_gpt":0.2722697934142826,"score_spread":0.2621749964069504,"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."}}