{"id":"W1610759384","doi":"","title":"SecSLA: A Proactive and Secure Service Level Agreement Framework for Cloud Services","year":2014,"lang":"en","type":"article","venue":"IEEE International Conference on Cloud Computing Technology and Science","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Cloud computing; Computer security; Outsourcing; Cloud computing security; Service-level agreement; Computer science; Service provider; Service (business); Business","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":[0.0009285099,0.0002430514,0.0002307984,0.0005129639,0.0007753214,0.0004413534,0.002576133,0.0002061226,0.000004442167],"category_scores_gemma":[0.0002620008,0.0002368323,0.00003077069,0.001022071,0.0006400567,0.0003813568,0.001070145,0.0004516134,0.00001411273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007960435,"about_ca_system_score_gemma":0.0001555097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004008483,"about_ca_topic_score_gemma":0.00009367103,"domain_scores_codex":[0.9976622,0.00004308927,0.0003009787,0.00104254,0.0004840442,0.0004671587],"domain_scores_gemma":[0.9980017,0.0003375655,0.0002246471,0.0006140198,0.0006960398,0.0001260227],"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":[0.0000117801,0.00005538274,0.0004030975,0.00002115747,0.00002058071,0.000001386309,0.001066338,0.00003105148,0.0008382814,0.9856696,0.00004934013,0.01183197],"study_design_scores_gemma":[0.0003601858,0.0002114975,0.00115314,0.0001889673,0.000007422547,0.00005248732,0.0003285015,0.5818461,0.001700901,0.4128132,0.001068648,0.0002688736],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3513324,0.00002193241,0.6289912,0.01694071,0.001553758,0.0003019024,0.00003863044,0.0002295346,0.0005898954],"genre_scores_gemma":[0.8930119,0.00001199344,0.1054012,0.001316597,0.0002020435,0.0000259115,0.000004369731,0.000006599221,0.00001938506],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5818151,"threshold_uncertainty_score":0.9657742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05970420233126435,"score_gpt":0.3254241047111842,"score_spread":0.2657199023799199,"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."}}