{"id":"W4398163933","doi":"10.1109/aimla59606.2024.10531472","title":"A Secure Approach to Avoid Data Repetition in Cloud Storage Systems","year":2024,"lang":"en","type":"article","venue":"","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Cloud computing; Cloud storage; Computer science; Computer data storage; Data security; Information repository; Computer security; Simple (philosophy); Data management; Data integrity; Database; Distributed computing; Encryption; 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":[0.001932027,0.000662039,0.0006372286,0.001180127,0.003101471,0.003621257,0.002562279,0.00147797,0.005302073],"category_scores_gemma":[0.005891164,0.0007513798,0.0008970586,0.001220634,0.00179617,0.007029088,0.005581299,0.002121373,0.002969489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00158236,"about_ca_system_score_gemma":0.00365436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002222292,"about_ca_topic_score_gemma":0.001771025,"domain_scores_codex":[0.9942315,0.0007806047,0.0004889981,0.0006399789,0.00325708,0.0006019013],"domain_scores_gemma":[0.9943513,0.0005581787,0.0005641207,0.002943169,0.001349892,0.0002334169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0009012769,0.0003887455,0.006238311,0.0009091771,0.0002325378,0.001700178,0.002487196,0.03691065,0.09955926,0.387808,0.03597828,0.4268865],"study_design_scores_gemma":[0.0002384372,0.0008698809,0.003263684,0.0005349242,0.0003096383,0.004072587,0.001303992,0.3356501,0.1501693,0.2356647,0.2675678,0.0003549899],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0496496,0.003176828,0.91045,0.004524538,0.0007955403,0.0009594067,0.000323252,0.005088412,0.02503241],"genre_scores_gemma":[0.7234994,0.001713924,0.2550258,0.001080955,0.0004066886,0.000452811,0.0003249994,0.0004616565,0.01703389],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005302073,"threshold_uncertainty_score":0.01773721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04733710510039688,"score_gpt":0.2826589222863604,"score_spread":0.2353218171859635,"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."}}