{"id":"W1604735721","doi":"10.1002/sec.625","title":"ALPP: anonymous and location privacy preserving scheme for mobile IPv6 heterogeneous networks","year":2012,"lang":"en","type":"article","venue":"Security and Communication Networks","topic":"Internet Traffic Analysis and Secure E-voting","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Javna Agencija za Raziskovalno Dejavnost RS","keywords":"Computer science; Anonymity; Computer network; Node (physics); Network packet; Mobile IP; Computer security; Engineering","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":[0.0008232278,0.0001791716,0.0002229443,0.00005230936,0.0004618411,0.0002720603,0.0007940327,0.0001651133,0.000007083904],"category_scores_gemma":[0.00003959531,0.0001790999,0.00005911767,0.0002744347,0.00008109075,0.0006405076,0.0007397709,0.0002859902,0.000001315543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002613871,"about_ca_system_score_gemma":0.00001512765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002178155,"about_ca_topic_score_gemma":0.00006435631,"domain_scores_codex":[0.9986516,0.0001869405,0.0003391249,0.0002944349,0.0001253851,0.0004025428],"domain_scores_gemma":[0.9985219,0.0002873116,0.0001926297,0.0006608399,0.0001918726,0.0001454365],"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":[0.00008729776,0.0007286101,0.004943583,0.0002230888,0.0004015827,0.000001569057,0.02736662,0.3137559,0.00001921143,0.514494,0.00386889,0.1341097],"study_design_scores_gemma":[0.0002324667,0.00005149492,0.0002448005,0.0000525863,0.00002304308,0.00001676976,0.0001192187,0.9931662,0.00001004196,0.0002071477,0.005676624,0.0001996007],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1026778,0.0337425,0.8624193,0.000257619,0.0001422846,0.0004501899,0.00000102782,0.0001328079,0.0001764574],"genre_scores_gemma":[0.9900423,0.001463542,0.007799797,0.0002996835,0.0001932664,0.0001116115,0.00004455462,0.00001431991,0.0000309105],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8873645,"threshold_uncertainty_score":0.730348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01356795332005691,"score_gpt":0.2498205214896438,"score_spread":0.2362525681695869,"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."}}