{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001073645,0.0000603917,0.00006151375,0.0004201874,0.0001454964,0.000175051,0.0002589027,0.00003025563,0.00001454087],"category_scores_gemma":[0.00008373803,0.00005650533,0.0000171261,0.0007804795,0.000007608913,0.0006244488,0.0002739581,0.00008082228,0.0000541035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003086621,"about_ca_system_score_gemma":0.0000108498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003973777,"about_ca_topic_score_gemma":0.0001410356,"domain_scores_codex":[0.9993109,0.00001571462,0.0001691207,0.0001412402,0.0001600675,0.0002029232],"domain_scores_gemma":[0.9995431,0.00005038131,0.00003735874,0.000189608,0.00004409896,0.0001354121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00003285273,0.00003534531,0.0334341,0.00002459198,0.00001857182,0.00003436336,0.06314259,0.00001030496,0.001857344,0.7216474,0.001037404,0.1787251],"study_design_scores_gemma":[0.002736164,0.000558932,0.4123478,0.000176444,0.00002170833,0.0003922652,0.005940394,0.1346294,0.2098513,0.03764969,0.1930825,0.002613484],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6020548,0.000008350809,0.3775039,0.0001289193,0.00009369283,0.00004666674,9.744088e-8,0.00009656364,0.02006705],"genre_scores_gemma":[0.9836836,0.000001034683,0.01503143,0.001064971,0.00002057344,7.552729e-7,1.473339e-7,0.000001792458,0.0001956441],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6839978,"threshold_uncertainty_score":0.230422,"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."}}