{"id":"W2071838763","doi":"10.1109/iccsn.2010.65","title":"Fusion Based Approach for Distributed Alarm Correlation in Computer Networks","year":2010,"lang":"en","type":"article","venue":"","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"ALARM; Computer science; Disjoint sets; Fuse (electrical); Fault management; Domain (mathematical analysis); Process (computing); Heuristics; Fault (geology); Distributed computing; Codebook; Multi-agent system; Artificial intelligence; Engineering","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":[0.001934798,0.000654589,0.001337215,0.001493325,0.000660415,0.001262057,0.001630853,0.00101252,0.001178885],"category_scores_gemma":[0.003885615,0.000367714,0.0007789251,0.001643731,0.0007686459,0.002130742,0.001549406,0.001025089,0.0003458632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001162417,"about_ca_system_score_gemma":0.0009931353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002062168,"about_ca_topic_score_gemma":0.001731653,"domain_scores_codex":[0.997624,0.0004905505,0.0001250897,0.0004083041,0.001191872,0.0001601916],"domain_scores_gemma":[0.9981312,0.0007719062,0.0002058618,0.0002721411,0.0005539252,0.00006498468],"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":[0.000400858,0.0001803302,0.001794879,0.0002224968,0.0001740788,0.0003216089,0.0003583715,0.4619615,0.02176342,0.04702922,0.002876533,0.4629166],"study_design_scores_gemma":[0.00001804162,0.00007160234,0.0003261012,0.000008206239,0.00003652768,0.0001103133,0.00002772204,0.9811572,0.004772566,0.01203739,0.001413434,0.00002075548],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004417871,0.0001932904,0.9945498,0.00004888731,0.00002071245,0.00002357671,0.0000139905,0.0002405802,0.0004912914],"genre_scores_gemma":[0.5371643,0.0004769622,0.4595825,0.0001346131,0.0001450811,0.0001410823,0.0001357214,0.00006461579,0.002155097],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002062168,"threshold_uncertainty_score":0.01023233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007828038255696135,"score_gpt":0.2176318755553373,"score_spread":0.2098038372996411,"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."}}