{"id":"W1968632081","doi":"10.1145/1368506.1368518","title":"Remote detection of virtual machine monitors with fuzzy benchmarking","year":2008,"lang":"en","type":"article","venue":"ACM SIGOPS Operating Systems Review","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"Oak Ridge Institute for Science and Education; VMware; U.S. Department of Homeland Security","keywords":"Benchmarking; Computer science; Operating system; Fuzzy logic; Virtual machine; Hypervisor; Embedded system; Heuristics; The Internet; Real-time computing; Virtualization; Cloud computing; Artificial intelligence","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":[0.003553777,0.0006786327,0.0009529468,0.001298288,0.0004924968,0.001197226,0.001871798,0.001184288,0.0004225679],"category_scores_gemma":[0.01704463,0.0003578005,0.0005948404,0.001024515,0.001067954,0.001685817,0.001249745,0.001439367,0.0001067479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009783314,"about_ca_system_score_gemma":0.0006983817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002594469,"about_ca_topic_score_gemma":0.001582697,"domain_scores_codex":[0.9969872,0.001049524,0.0001119374,0.0004813673,0.001153812,0.0002162619],"domain_scores_gemma":[0.9882789,0.007126537,0.002276065,0.0008813625,0.001171257,0.000265923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000672518,0.0003311405,0.03307081,0.0002121081,0.0002146961,0.0005992341,0.0004094831,0.6267437,0.02244303,0.02457885,0.00119545,0.289529],"study_design_scores_gemma":[0.00001098932,0.00009323722,0.002227365,0.00001066632,0.00001635813,0.0001059702,0.00003140653,0.9852728,0.00456786,0.007420257,0.00022469,0.00001834625],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2187001,0.0007905382,0.7769418,0.0004408591,0.00004822346,0.00006475996,0.00003501049,0.000590151,0.00238858],"genre_scores_gemma":[0.9377403,0.0001298334,0.06164066,0.0000671534,0.00003409234,0.00002101059,0.00002708535,0.00001632675,0.0003236535],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003553777,"threshold_uncertainty_score":0.01879442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.018165022701074,"score_gpt":0.2389417029883063,"score_spread":0.2207766802872323,"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."}}