{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001338647,0.00005179616,0.00007292234,0.00003934283,0.0002674331,0.0001064627,0.000788864,0.00001699794,0.00001233566],"category_scores_gemma":[0.00002860105,0.00003945934,0.00003892145,0.00003260204,0.0000427239,0.00002760498,0.0005845608,0.00004096415,0.00005057808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008706187,"about_ca_system_score_gemma":0.00000651937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003548547,"about_ca_topic_score_gemma":0.00002526986,"domain_scores_codex":[0.9995239,0.00001410144,0.00009773958,0.0001517276,0.0001272043,0.00008527054],"domain_scores_gemma":[0.9992064,0.00001952496,0.0001009918,0.0006204504,0.00002802679,0.00002461501],"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":[0.000006869076,0.0001424432,0.007815875,0.00001718331,0.00004674343,0.00001096945,0.001600357,0.003565204,0.0003663815,0.3850295,0.004740755,0.5966577],"study_design_scores_gemma":[0.0003719652,0.0002054294,0.1069904,0.00002929951,0.000005667897,0.000006192446,0.00008713028,0.8832545,0.001231952,0.002824721,0.004825655,0.0001671654],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6598464,0.00001967779,0.1951543,0.001772169,0.0006829246,0.00007139763,2.218861e-7,0.0002206209,0.1422323],"genre_scores_gemma":[0.9899498,0.000001368951,0.005798449,0.00006188261,0.00007511437,7.410206e-7,7.516277e-8,0.000002081816,0.004110525],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8796893,"threshold_uncertainty_score":0.2056906,"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."}}