{"id":"W1927997230","doi":"10.1002/sec.533","title":"DEFF: a new architecture for private online social networks","year":2012,"lang":"en","type":"article","venue":"Security and Communication Networks","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Exploit; Architecture; Popularity; Private information retrieval; Limiting; Encryption; Information leakage; Proxy (statistics); Computation; Computer security; Information flow; Computer network","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":[0.003469948,0.0004811594,0.0006165918,0.001311147,0.001456068,0.002657378,0.002751119,0.001811643,0.004372968],"category_scores_gemma":[0.005576413,0.0005125632,0.0006598391,0.000606293,0.001916427,0.0072446,0.004138116,0.001737593,0.001017637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001669228,"about_ca_system_score_gemma":0.001017886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002358902,"about_ca_topic_score_gemma":0.001577129,"domain_scores_codex":[0.9979432,0.0005615666,0.000179485,0.0004444556,0.0005973413,0.0002739478],"domain_scores_gemma":[0.996699,0.0006686301,0.0002919546,0.001692125,0.0004119269,0.0002363083],"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":[0.0009219885,0.0006190644,0.005674349,0.0002959516,0.0001452898,0.0006559264,0.001502236,0.1175667,0.03994852,0.4062551,0.01582108,0.4105938],"study_design_scores_gemma":[0.00009630717,0.0002498773,0.0009023508,0.00003409292,0.00004182078,0.000426321,0.0001294128,0.8422772,0.01896468,0.09388717,0.04288296,0.0001078561],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03004804,0.0001845996,0.9603068,0.0004415852,0.0000747819,0.0003235418,0.0000918012,0.005597157,0.002931754],"genre_scores_gemma":[0.6497437,0.0002214117,0.337867,0.0002745542,0.0001109172,0.0005157343,0.0003306925,0.0003248882,0.01061117],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004372968,"threshold_uncertainty_score":0.01835102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01774348278191198,"score_gpt":0.2618144756411407,"score_spread":0.2440709928592288,"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."}}