{"id":"W2137709266","doi":"10.1109/waina.2009.118","title":"Quantifying Artifacts of Virtualization: A Framework for Mirco-Benchmarks","year":2009,"lang":"en","type":"article","venue":"","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Virtualization; Computer science; DECIPHER; Virtual machine; Implementation; Distributed computing; Scale (ratio); Embedded system; Operating system; Software engineering; Cloud computing","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":[0.0002404803,0.0000866357,0.0001309464,0.00007934979,0.00009054979,0.00007284426,0.0004723773,0.00004896343,0.0000218303],"category_scores_gemma":[0.00008239087,0.0000731822,0.00007732505,0.0003184241,0.00001374897,0.00002380029,0.00009089361,0.00005183723,0.000005494273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001078093,"about_ca_system_score_gemma":0.00001426743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003576712,"about_ca_topic_score_gemma":0.000001258126,"domain_scores_codex":[0.9991421,0.00002243717,0.0002268824,0.0002421721,0.0001771048,0.0001893398],"domain_scores_gemma":[0.9992304,0.0001650621,0.00009550324,0.0004002216,0.00006136583,0.00004746452],"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":[0.000003711807,0.00006942271,0.000112552,0.00001763328,0.000009858601,0.00000104976,0.0005167967,0.005066353,0.0001070948,0.9140844,0.001247425,0.07876371],"study_design_scores_gemma":[0.000374611,0.0003778811,0.003888969,0.000151102,0.00001121372,0.000003493144,0.0001470737,0.882118,0.004345058,0.09834583,0.009950085,0.0002866126],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03151992,0.00005266839,0.9608947,0.001989515,0.0001916704,0.0001649179,1.896956e-7,0.000112043,0.00507436],"genre_scores_gemma":[0.7723949,0.000001168771,0.2266959,0.0006733688,0.00004931968,0.000002491305,9.901622e-7,0.000002571369,0.0001792892],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8770517,"threshold_uncertainty_score":0.2984284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03954416791459884,"score_gpt":0.3027965038165005,"score_spread":0.2632523359019016,"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."}}