{"id":"W1981240816","doi":"10.1109/ccgrid.2005.1558540","title":"Clusters and security: distributed security for distributed systems","year":2005,"lang":"en","type":"article","venue":"","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Research Canada; Ericsson (Canada)","funders":"","keywords":"Computer science; Cluster (spacecraft); Server; Distributed System Security Architecture; Security service; Computer security; Commodity; Computer security model; Cloud computing security; Field (mathematics); Security information and event management; Security through obscurity; Information security; Business; Computer network; Cloud computing; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006661071,0.0003182512,0.0004340595,0.00008282263,0.0003061357,0.0007182118,0.0008592609,0.0001658025,0.000004561659],"category_scores_gemma":[0.00007823049,0.0002859491,0.0001229303,0.0004244077,0.00006708627,0.0005270516,0.0003431002,0.0001677598,0.00002820471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001528469,"about_ca_system_score_gemma":0.00008313864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001062539,"about_ca_topic_score_gemma":0.00002253367,"domain_scores_codex":[0.9976376,0.0001239229,0.0005476332,0.0007132743,0.0003211071,0.0006564342],"domain_scores_gemma":[0.9983365,0.0002917804,0.0001891393,0.0006647204,0.0002125889,0.0003052707],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001000968,0.0004727029,0.002161356,0.0008408733,0.0003639633,0.00003298922,0.003265752,0.04188241,0.00008617144,0.5033268,0.4405091,0.006957762],"study_design_scores_gemma":[0.0009317549,0.00008314192,0.0001507378,0.00004813269,0.00001377014,0.00007070913,0.0001054934,0.7680367,0.00003435148,0.001686027,0.2284807,0.0003585065],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0157056,0.0006266097,0.9778795,0.001916855,0.0007260704,0.0007821706,0.0007596194,0.0007067028,0.0008969186],"genre_scores_gemma":[0.995972,0.00001134845,0.002797544,0.0001983211,0.000332281,0.00006634816,0.0004579842,0.00001505152,0.0001491146],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9802664,"threshold_uncertainty_score":0.9999593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0124453687256792,"score_gpt":0.2414210810804433,"score_spread":0.2289757123547641,"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."}}