{"id":"W7116988931","doi":"10.2139/ssrn.5958498","title":"Privacy Preserving Semantic Search over Encrypted Cloud Email Archives using Bidirectional Encoder Representations from Transformer","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Marriott International (Canada)","funders":"","keywords":"Encryption; Cloud computing; Cryptography; Encoder; Embedding; Confidentiality; Cloud storage; Public-key cryptography; Discrete cosine transform","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":[0.001034851,0.0005471657,0.001213916,0.001452286,0.0006702738,0.00246369,0.0010445,0.001216398,0.003881942],"category_scores_gemma":[0.005516743,0.000367694,0.001109133,0.002522052,0.0009054749,0.005703332,0.002651271,0.001363555,0.00158856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001114866,"about_ca_system_score_gemma":0.001913704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003619346,"about_ca_topic_score_gemma":0.003427444,"domain_scores_codex":[0.9983853,0.0003583595,0.0001299356,0.0002895626,0.000574147,0.0002626504],"domain_scores_gemma":[0.9975668,0.0008918666,0.0001687767,0.0009227651,0.000371197,0.00007869171],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001492923,0.0004259784,0.002107807,0.000573576,0.0001590683,0.0008385922,0.0006153625,0.1417334,0.02836793,0.3897716,0.02202237,0.4118915],"study_design_scores_gemma":[0.00003985149,0.00008910648,0.0002912503,0.00004631269,0.00006771021,0.0003226037,0.0001454594,0.7579656,0.01793293,0.2184253,0.004638779,0.0000350529],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06792258,0.00061282,0.9195849,0.0007651471,0.00009768207,0.000115199,0.001778777,0.00323317,0.0058898],"genre_scores_gemma":[0.8306525,0.0007316991,0.1574298,0.0002562538,0.0001176554,0.0001094285,0.002958832,0.0004597811,0.007284111],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003881942,"threshold_uncertainty_score":0.01298636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02447954522190493,"score_gpt":0.3037421129250845,"score_spread":0.2792625677031795,"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."}}