{"id":"W1968172475","doi":"10.1109/jsen.2013.2263793","title":"EPS: An Efficient and Privacy-Preserving Service Searching Scheme for Smart Community","year":2013,"lang":"en","type":"article","venue":"IEEE Sensors Journal","topic":"Internet Traffic Analysis and Secure E-voting","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University; University of Waterloo","funders":"","keywords":"Upload; The Internet; Internet privacy; Computer science; Information privacy; Computer security; Service (business); Internet access; Scheme (mathematics); Computer network; Business; World Wide Web","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":[0.001352051,0.00042526,0.0009390278,0.0007297543,0.001122521,0.0007557044,0.001555673,0.001094287,0.00219185],"category_scores_gemma":[0.004632453,0.0001787864,0.000575789,0.001111533,0.0008778785,0.002750726,0.002442382,0.0009587279,0.000585577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000941264,"about_ca_system_score_gemma":0.001512308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001335821,"about_ca_topic_score_gemma":0.001089378,"domain_scores_codex":[0.998253,0.000574611,0.0001059339,0.000220337,0.0005591673,0.0002868662],"domain_scores_gemma":[0.9979284,0.0006048802,0.000257803,0.0006238717,0.0004073828,0.0001777076],"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":[0.002172543,0.0008271877,0.003599739,0.0004204721,0.0001590186,0.0006884927,0.0008482074,0.149206,0.06767818,0.2041573,0.01504375,0.5551991],"study_design_scores_gemma":[0.000197737,0.0005213305,0.0006980419,0.00002034854,0.00005040147,0.0007558531,0.0001614407,0.9247311,0.01432904,0.04636132,0.01210527,0.00006809076],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09847269,0.0003051839,0.894217,0.0005690082,0.0001303661,0.0003726444,0.0001805166,0.001033896,0.004718677],"genre_scores_gemma":[0.9010156,0.0001518729,0.09432287,0.0001543868,0.00005739724,0.0001588047,0.0001669728,0.00003584522,0.003936233],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00219185,"threshold_uncertainty_score":0.007332444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03746261309744389,"score_gpt":0.2833310495449706,"score_spread":0.2458684364475267,"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."}}