{"id":"W4301019359","doi":"10.1007/978-1-4614-8857-6","title":"Security and Privacy in Mobile Social Networks","year":2013,"lang":"en","type":"book","venue":"SpringerBriefs in computer science","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tech University; University of Waterloo","funders":"","keywords":"Computer science; Internet privacy; Protocol (science); Computer security; Information privacy","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":[0.0009397165,0.0006782454,0.0006341098,0.0006193482,0.001048588,0.004466927,0.0006675075,0.001945749,0.005373993],"category_scores_gemma":[0.003223796,0.00041068,0.0004558775,0.00157696,0.003018338,0.006352235,0.001629655,0.002518942,0.001298495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001099354,"about_ca_system_score_gemma":0.0008043664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008043841,"about_ca_topic_score_gemma":0.0006202668,"domain_scores_codex":[0.9988217,0.0004499498,0.00004654822,0.000110099,0.0004673023,0.0001043119],"domain_scores_gemma":[0.998359,0.001125854,0.00009726423,0.0002628632,0.0001064488,0.00004866331],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003045459,0.00002518442,0.0002263451,0.0002439475,0.00001643842,0.0001551518,0.000595096,0.005817976,0.0006863346,0.8615568,0.02197448,0.1086718],"study_design_scores_gemma":[0.000009331721,0.00003309884,0.0002757772,0.0001703345,0.00001607479,0.0004173651,0.000292114,0.01553418,0.0006548009,0.8062163,0.1763646,0.00001599338],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.03207494,0.1525436,0.4048336,0.03752163,0.003255585,0.0002060616,0.0004238068,0.0005239173,0.3686168],"genre_scores_gemma":[0.5853406,0.1355865,0.05640399,0.002566991,0.006400934,0.0003919869,0.0004439465,0.000203687,0.2126613],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.005373993,"threshold_uncertainty_score":0.01797777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01622879917360135,"score_gpt":0.2562046149541445,"score_spread":0.2399758157805432,"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."}}