{"id":"W4244499999","doi":"10.32920/ryerson.14654145","title":"Secure Data Deduplication in Cloud Environments","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Data deduplication; Computer science; Cloud computing; Upload; Cloud storage; Encryption; Computer security; Service provider; Data security; Database; Computer network; Service (business); 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":[0.002195048,0.0005017144,0.0007405896,0.0008247729,0.001782881,0.001970584,0.001148746,0.0009261841,0.001240521],"category_scores_gemma":[0.005078307,0.000308883,0.0005172838,0.001221256,0.001014548,0.003268838,0.002823562,0.0009686836,0.0005383796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009106373,"about_ca_system_score_gemma":0.001627377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001142359,"about_ca_topic_score_gemma":0.001094453,"domain_scores_codex":[0.9978086,0.0005122402,0.0002246204,0.0003165155,0.0008451223,0.000292898],"domain_scores_gemma":[0.9941745,0.001530345,0.0005554862,0.002681724,0.0008526138,0.0002053357],"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":[0.003591729,0.000749963,0.007979079,0.00173765,0.0003329537,0.003402388,0.002649992,0.1391225,0.1700431,0.1950681,0.02207487,0.4532477],"study_design_scores_gemma":[0.0003510517,0.0005099814,0.002407028,0.0002071591,0.0001250117,0.002885401,0.00147581,0.6471339,0.2508189,0.06002074,0.03391719,0.0001477538],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2413502,0.004138129,0.7405519,0.001580761,0.0004642028,0.0008590243,0.0008362499,0.001520326,0.008699222],"genre_scores_gemma":[0.8764917,0.001625847,0.116573,0.0002011269,0.0001136074,0.0001720854,0.0004300485,0.00008950693,0.00430313],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002195048,"threshold_uncertainty_score":0.01160866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05321095790573612,"score_gpt":0.2944929288965459,"score_spread":0.2412819709908098,"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."}}