{"id":"W1656089935","doi":"","title":"Proof of retrieval and ownership protocols for enterprise-level data deduplication","year":2013,"lang":"en","type":"article","venue":"Conference of the Centre for Advanced Studies on Collaborative Research","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Data deduplication; Computer science; Cloud computing; Cloud storage; Service provider; Database; Computer security; Data integrity; Information repository; Cloud computing security; Retrievability; Computer data storage; Service (business); World Wide Web; Operating system; 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":[],"consensus_categories":[],"category_scores_codex":[0.001173095,0.0001443715,0.000320579,0.0001010134,0.0003660855,0.0000879151,0.002092242,0.00004304296,0.000002441947],"category_scores_gemma":[0.008291652,0.00009906726,0.00003787377,0.0008536143,0.0006350072,0.0005816587,0.001611323,0.000156199,0.000001274561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001032721,"about_ca_system_score_gemma":0.0004961786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005241148,"about_ca_topic_score_gemma":0.00008969192,"domain_scores_codex":[0.9979067,0.0002487602,0.0003844581,0.0005775378,0.0005125643,0.0003699987],"domain_scores_gemma":[0.9896142,0.001832668,0.0003135908,0.001588356,0.006576675,0.00007451466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003083043,0.002006873,0.0008379338,0.003618368,0.000823117,6.130238e-7,0.02305119,0.0002026587,0.07205476,0.6967182,0.0957119,0.1018913],"study_design_scores_gemma":[0.005566211,0.002815403,0.001446816,0.002179178,0.00004291231,0.000001361078,0.01625894,0.07627468,0.7017719,0.1522727,0.04073778,0.0006322201],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0789547,0.002652983,0.4590417,0.1153915,0.0009211454,0.322163,0.02011082,0.0001521451,0.0006120051],"genre_scores_gemma":[0.9306598,0.0001324756,0.05660738,0.00005114148,0.00004976085,0.01168667,0.00007459067,0.00002066556,0.0007175249],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8517051,"threshold_uncertainty_score":0.9926481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3366469996664249,"score_gpt":0.4624783977350129,"score_spread":0.1258313980685881,"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."}}