{"id":"W3185940775","doi":"10.1109/icsccc51823.2021.9478109","title":"Privacy Protection in LTE and 5G Networks","year":2021,"lang":"en","type":"article","venue":"2021 2nd International Conference on Secure Cyber Computing and Communications (ICSCCC)","topic":"Internet Traffic Analysis and Secure E-voting","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University of Edmonton","funders":"","keywords":"Privacy by Design; Information privacy; Service provider; Computer security; Privacy software; Personally identifiable information; Computer science; Internet privacy; Privacy policy; Service (business); Business","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":[0.0004673175,0.0001995458,0.0002417166,0.0001911897,0.0002770721,0.0005984607,0.001113959,0.0001104453,0.00005256808],"category_scores_gemma":[0.0001089682,0.0002053533,0.00006851723,0.0004200454,0.0001005654,0.000269706,0.0009801504,0.0006317713,0.000009759418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006562522,"about_ca_system_score_gemma":0.00008866148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006002141,"about_ca_topic_score_gemma":0.0002970179,"domain_scores_codex":[0.9982429,0.0002789106,0.0004500548,0.0005311242,0.0002600626,0.0002369854],"domain_scores_gemma":[0.9984829,0.0001725833,0.000185105,0.0006583536,0.0004177892,0.00008327184],"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":[0.000005651748,0.0001321205,0.0005125917,0.000006106264,0.00006338624,0.00001044469,0.002097528,0.001732886,0.00007095074,0.9364904,0.00009478525,0.0587832],"study_design_scores_gemma":[0.0003217651,0.00003409022,0.001867658,0.0002191583,0.00000901102,0.00004419687,0.000372402,0.9915882,0.00003832167,0.000801866,0.004488762,0.0002145038],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1812002,0.001965344,0.7651957,0.02151379,0.0008525598,0.0003787557,0.000007620719,0.0001721118,0.02871395],"genre_scores_gemma":[0.9914471,0.0007127451,0.006955804,0.0004069116,0.0000997822,0.00001449577,0.00004045623,0.00001036903,0.0003123465],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9898553,"threshold_uncertainty_score":0.8374066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04312975772319996,"score_gpt":0.2906141695778021,"score_spread":0.2474844118546021,"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."}}