{"id":"W2021734718","doi":"10.1007/s11859-011-0769-0","title":"Improved verifiability scheme for data storage in cloud computing","year":2011,"lang":"en","type":"article","venue":"Wuhan University Journal of Natural Sciences","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Alberta Paraplegic Foundation","funders":"","keywords":"Computer science; Data integrity; Cloud computing; Correctness; Scheme (mathematics); Trusted Computing; Data center; Data redundancy; Cloud storage; Computer security; Redundancy (engineering); Database; Distributed computing; Computer network; Operating system; Algorithm","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":[0.001997295,0.00009368286,0.0001812492,0.0002401747,0.0003396329,0.00007859046,0.004495992,0.00004650706,0.000005028777],"category_scores_gemma":[0.0003222831,0.00008497854,0.00007000574,0.0009151888,0.0003088503,0.002356823,0.001101093,0.0002829913,0.000001123707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001930994,"about_ca_system_score_gemma":0.0002900581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000310155,"about_ca_topic_score_gemma":0.00036263,"domain_scores_codex":[0.9987318,0.0001053292,0.0002427454,0.0003423777,0.0002809705,0.0002968116],"domain_scores_gemma":[0.998751,0.000204772,0.0003056939,0.0004546162,0.0001766945,0.0001071688],"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":[0.001403161,0.003652564,0.1227852,0.0003342372,0.0004019136,0.001002659,0.0487039,0.0006153324,0.03267532,0.678852,0.018494,0.09107965],"study_design_scores_gemma":[0.002078018,0.0006867179,0.03073421,0.0001294958,0.00002653352,0.0001396941,0.002627619,0.9505656,0.0006408786,0.003426335,0.008444206,0.0005006229],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8020156,0.0002596063,0.195038,0.00074164,0.00148641,0.0001967195,0.0000256164,0.00003203909,0.0002043332],"genre_scores_gemma":[0.8397806,0.000007576892,0.160107,0.00003479409,0.00005596206,1.818198e-8,0.000001922282,0.000001371191,0.00001082627],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9499503,"threshold_uncertainty_score":0.8354747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06324549953143412,"score_gpt":0.2749046627104427,"score_spread":0.2116591631790086,"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."}}