{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science","research_integrity","insufficient_payload"],"consensus_categories":["open_science"],"category_scores_codex":[0.0005482528,0.0006988132,0.0008339136,0.0004085806,0.0003660589,0.0002085037,0.009466354,0.0005270175,0.0001497666],"category_scores_gemma":[0.0007757588,0.0007625474,0.000248394,0.0002137781,0.0006080848,0.0003883889,0.03482213,0.002444409,0.0009299988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002048255,"about_ca_system_score_gemma":0.0004165427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008152102,"about_ca_topic_score_gemma":0.002958495,"domain_scores_codex":[0.9946845,0.000552384,0.0007178072,0.002664348,0.0004461239,0.0009348138],"domain_scores_gemma":[0.9893132,0.001246061,0.0005090374,0.008578212,0.00008712868,0.0002663626],"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":[0.00006263785,0.000275806,0.001598591,0.000113856,0.0002547801,0.0001486729,0.003307908,0.0004406572,0.000110709,0.9834627,0.008709792,0.001513907],"study_design_scores_gemma":[0.0006868708,0.00008451147,0.01340254,0.0002145875,0.00005631836,0.00005632122,0.00005324675,0.1507412,0.00007462218,0.8278391,0.005973653,0.0008169615],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07349855,0.0002106281,0.9149344,0.001087503,0.004719035,0.0008016694,0.002148874,0.0006125436,0.00198677],"genre_scores_gemma":[0.2908898,0.0002841672,0.7046475,0.0008762489,0.0002489571,0.0001397625,0.00282911,0.00007870689,0.000005761674],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2173913,"threshold_uncertainty_score":0.999857,"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."}}