{"id":"W1902194318","doi":"10.1109/tetc.2015.2445101","title":"EnDAS: Efficient Encrypted Data Search as a Mobile Cloud Service","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Emerging Topics in Computing","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Natural Science Foundation of China","keywords":"Computer science; Encryption; Cloud computing; Computer network; Binary search algorithm; Search algorithm; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001141708,0.0002013432,0.0002114264,0.0003491268,0.000272858,0.0001687035,0.002004994,0.00009345812,0.00001572583],"category_scores_gemma":[0.00001816263,0.0002184894,0.00005877059,0.001676624,0.00004330366,0.0003277748,0.00008994134,0.0006021628,0.00005701525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009094739,"about_ca_system_score_gemma":0.0001732552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008998063,"about_ca_topic_score_gemma":0.0002688424,"domain_scores_codex":[0.997647,0.0001854301,0.0003930646,0.0007585432,0.0005429916,0.0004729355],"domain_scores_gemma":[0.9977863,0.0002026596,0.00006561112,0.001617745,0.0001403606,0.000187275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003821835,0.0008847757,0.00017372,0.00007749955,0.00005091402,0.00006987153,0.01588674,0.8092186,0.0001194849,0.0128395,0.0003824365,0.1602582],"study_design_scores_gemma":[0.000617289,0.00009008877,0.00004713333,0.00008388238,0.000007759363,0.00002383784,0.0005670559,0.990993,0.001111218,0.0008183407,0.005377046,0.000263404],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1674164,0.00007777897,0.8290765,0.0005927985,0.001831298,0.0002221326,0.00002309973,0.0002463675,0.0005136322],"genre_scores_gemma":[0.9594442,0.00001547647,0.0399211,0.0003932524,0.0001819961,0.000008288304,0.00001371948,0.00001338844,0.000008580756],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7920278,"threshold_uncertainty_score":0.890974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06748292502868941,"score_gpt":0.3324049534726928,"score_spread":0.2649220284440034,"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."}}