{"id":"W2403115307","doi":"","title":"On Verifying Dynamic Multiple Data Copies over Cloud Servers.","year":2011,"lang":"en","type":"preprint","venue":"IACR Cryptology ePrint Archive","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Server; Scalability; Cloud computing; Outsourcing; File server; Computer network; Block (permutation group theory); Cloud storage; Database; Cheating; Service provider; Distributed computing; Service (business); Computer security; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0176906,0.001629148,0.002349536,0.002235009,0.003773328,0.004417942,0.005627433,0.004827903,0.004199166],"category_scores_gemma":[0.1003157,0.001478001,0.001932296,0.003387994,0.01209909,0.02236681,0.01256095,0.007448563,0.001967831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004767994,"about_ca_system_score_gemma":0.005013249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001239846,"about_ca_topic_score_gemma":0.0009371579,"domain_scores_codex":[0.9629764,0.01262907,0.002564053,0.00410958,0.01531758,0.002403345],"domain_scores_gemma":[0.8330408,0.09971404,0.009999273,0.04898203,0.006633344,0.001630463],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00271894,0.0006390166,0.006495855,0.001376861,0.000543342,0.001660178,0.002374537,0.1119562,0.02523131,0.6547847,0.01298085,0.1792382],"study_design_scores_gemma":[0.0006483488,0.0007703193,0.001195059,0.0002543209,0.0002131748,0.002426195,0.0005645273,0.3735743,0.05277369,0.5553918,0.01197417,0.0002140966],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03815746,0.0008426247,0.9474008,0.003662905,0.0002568922,0.000530961,0.0003857964,0.001092165,0.007670411],"genre_scores_gemma":[0.7608911,0.001019972,0.2292458,0.001228552,0.0005563005,0.0005799801,0.0006494781,0.0002267849,0.005602096],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0176906,"threshold_uncertainty_score":0.09355795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0590448383529274,"score_gpt":0.3044836691374198,"score_spread":0.2454388307844924,"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."}}