{"id":"W2616664865","doi":"10.1109/icde.2017.117","title":"Secure Skyline Queries on Cloud Platform","year":2017,"lang":"en","type":"article","venue":"","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":91,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"National Institute of General Medical Sciences","keywords":"Computer science; Encryption; Cloud computing; Skyline; Scalability; Outsourcing; Database; Computer network; Data mining; 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":[0.002759158,0.0006294792,0.001021895,0.0005807619,0.0013118,0.002441371,0.001145787,0.001116189,0.002731816],"category_scores_gemma":[0.005077974,0.0002945525,0.0007313448,0.0009340307,0.001330715,0.006200763,0.00329058,0.001225835,0.0008658849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00142738,"about_ca_system_score_gemma":0.001885597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001974133,"about_ca_topic_score_gemma":0.001449086,"domain_scores_codex":[0.9960051,0.0009800093,0.0003412844,0.0005388589,0.001405287,0.0007294851],"domain_scores_gemma":[0.9953236,0.001531512,0.0006113905,0.001574032,0.0007488488,0.0002105993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003792637,0.0004908175,0.004733966,0.0004851487,0.0002321646,0.001708412,0.001829312,0.3103957,0.1348872,0.3801385,0.01487464,0.1464315],"study_design_scores_gemma":[0.0002113212,0.0003509331,0.0007524947,0.00002904709,0.00003692865,0.0004239945,0.000558038,0.8284823,0.04633306,0.1136068,0.009158768,0.00005640342],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2027417,0.00040157,0.7863513,0.001144655,0.00005887863,0.00040917,0.0006737422,0.001541776,0.00667732],"genre_scores_gemma":[0.9220062,0.0002143434,0.07379686,0.0001571038,0.00004648135,0.0002003236,0.0004318095,0.0001085312,0.003038336],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002759158,"threshold_uncertainty_score":0.01459199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02579798825974957,"score_gpt":0.2730244330343136,"score_spread":0.247226444774564,"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."}}