{"id":"W2597719305","doi":"10.1145/3050748.3050766","title":"Safe Inspection of Live Virtual Machines","year":2017,"lang":"en","type":"article","venue":"","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Troubleshooting; Cloud computing; Computer science; Virtual machine; Live migration; Virtualization; Operating system; Embedded system; Reuse; Automation; Real-time computing; 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":[0.002137028,0.0006477784,0.0005399002,0.0006692966,0.0005656646,0.001412761,0.001939801,0.0009609002,0.001251246],"category_scores_gemma":[0.01110779,0.0005552507,0.0004555951,0.0002962897,0.00199785,0.002243895,0.00251422,0.00153184,0.0004881593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009071183,"about_ca_system_score_gemma":0.001217462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001182906,"about_ca_topic_score_gemma":0.001111038,"domain_scores_codex":[0.9959416,0.0009397572,0.0001767199,0.0006596417,0.001821578,0.0004606757],"domain_scores_gemma":[0.9840641,0.003589795,0.002135661,0.00836434,0.001413829,0.0004322912],"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":[0.001300485,0.0004925157,0.04930125,0.0004329578,0.0001367227,0.001697293,0.003310158,0.06361854,0.377837,0.03779506,0.008770633,0.4553075],"study_design_scores_gemma":[0.00007040097,0.0007540841,0.0135524,0.0001331156,0.00007317436,0.001323817,0.0003457496,0.4858203,0.4469722,0.02772161,0.02314113,0.0000920843],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2318652,0.0004157116,0.7329355,0.0002986554,0.00008069905,0.0001597303,0.00008723925,0.03050191,0.003655403],"genre_scores_gemma":[0.9044299,0.00007469181,0.09245688,0.0001812708,0.00001669399,0.00006049443,0.0001204416,0.0009428248,0.001716784],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002137028,"threshold_uncertainty_score":0.01130188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01302799857089373,"score_gpt":0.2451742681579047,"score_spread":0.232146269587011,"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."}}