{"id":"W2410319475","doi":"10.1145/2906153","title":"Ensuring Security and Privacy Preservation for Cloud Data Services","year":2016,"lang":"en","type":"review","venue":"ACM Computing Surveys","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":169,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"National Natural Science Foundation of China; National Science Foundation","keywords":"Cloud computing; Computer science; Outsourcing; Computer security; Information privacy; Cloud computing security; Data security; Server; Data breach; Data Protection Act 1998; Internet privacy; Encryption; World Wide Web; 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":["metaepi_narrow","open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.006895987,0.0005383233,0.001233684,0.0001982317,0.0004944566,0.0006433389,0.010194,0.0003097485,0.000002654672],"category_scores_gemma":[0.00194262,0.000463183,0.0001679548,0.000550812,0.00007272849,0.001320417,0.01894103,0.0003748366,0.00003503609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009438308,"about_ca_system_score_gemma":0.0002510022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002158816,"about_ca_topic_score_gemma":0.0001251199,"domain_scores_codex":[0.9948438,0.001467025,0.0009258593,0.001723658,0.0003821604,0.0006575334],"domain_scores_gemma":[0.9867412,0.005336788,0.0007760324,0.00676964,0.0002098283,0.0001665454],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[5.668414e-7,0.00004111057,0.00006419185,0.01068155,0.000111308,0.000002888251,0.0003684337,5.945665e-7,1.360567e-7,0.002968059,0.001843852,0.9839173],"study_design_scores_gemma":[0.0002483,0.00002574066,0.0001426746,0.007954614,0.00009622606,0.00003367524,0.000003346193,0.01728259,2.965738e-7,0.004091538,0.9695373,0.000583675],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00005637195,0.7732643,0.2224469,0.0002205618,0.001165466,0.001107884,0.001338838,0.0003736326,0.00002605092],"genre_scores_gemma":[0.0001712011,0.9588778,0.03717222,0.00005378004,0.001085135,0.00003008463,0.002515252,0.00006714147,0.00002739085],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9833336,"threshold_uncertainty_score":0.999782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1388832782470098,"score_gpt":0.3745543178729794,"score_spread":0.2356710396259697,"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."}}