{"id":"W2578339330","doi":"10.3233/978-1-61499-322-3-20","title":"QoS-Aware Cloud Application Management","year":2013,"lang":"en","type":"book-chapter","venue":"Advances in parallel computing","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Cloud computing; Computer science; Environmental science; 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":[0.0004167346,0.0006018342,0.0005804057,0.0003855761,0.0002364804,0.0001998159,0.002247154,0.0002137508,0.00002603534],"category_scores_gemma":[0.000005165243,0.0006139334,0.0001920386,0.0001960768,0.00008447023,0.0001001485,0.002094657,0.0006071202,0.000724399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002290934,"about_ca_system_score_gemma":0.00001872771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001353,"about_ca_topic_score_gemma":0.000009515001,"domain_scores_codex":[0.9964964,0.00004657191,0.0008386399,0.00135284,0.0006162905,0.0006492456],"domain_scores_gemma":[0.9976482,0.000160404,0.0005877334,0.001406997,0.000078793,0.0001179103],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000253466,0.00002503805,0.00001528612,0.0001629543,0.00003607018,0.00004796292,0.0001150484,0.1139293,1.902477e-7,0.4929973,0.001321948,0.3913463],"study_design_scores_gemma":[0.0004227723,0.00004135457,0.00007161168,0.0004800898,0.0000169356,0.00001219961,0.00002663686,0.3779413,7.222407e-7,0.06148644,0.5587936,0.0007063439],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.00003175226,0.003031904,0.516028,0.0001926702,0.001063977,0.0006717328,6.345604e-7,0.0003681494,0.4786111],"genre_scores_gemma":[0.1317421,0.003101923,0.302415,0.002185256,0.0041759,0.0001938512,0.00007840211,0.0003367268,0.5557709],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5574716,"threshold_uncertainty_score":0.9996312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009409155410221463,"score_gpt":0.2421592241053237,"score_spread":0.2327500686951023,"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."}}