{"id":"W4290996308","doi":"10.1109/icc45855.2022.9838525","title":"A Topological Dummy-based Location Privacy Protection Mechanism for the Internet of Drones","year":2022,"lang":"en","type":"article","venue":"ICC 2022 - IEEE International Conference on Communications","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Canada Research Chairs","keywords":"Drone; Mechanism (biology); The Internet; Internet privacy; Computer science; Privacy protection; Computer security; Information privacy; World Wide Web; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003665091,0.0001369997,0.0001360173,0.0001292233,0.0002644843,0.00004664989,0.00166111,0.0000528248,0.0004867695],"category_scores_gemma":[0.00009579654,0.0001268067,0.0000960117,0.0002229975,0.0000994847,0.00008007482,0.0002216958,0.0004535153,0.0000128091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002391594,"about_ca_system_score_gemma":0.00007133211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008227673,"about_ca_topic_score_gemma":0.0001117491,"domain_scores_codex":[0.9988537,0.0001419203,0.0003387647,0.0001721352,0.0003391619,0.0001543072],"domain_scores_gemma":[0.9984002,0.0003145789,0.0001060944,0.0008644859,0.0002822532,0.00003245088],"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":[0.00007581584,0.0002090578,0.00002506705,0.00002041654,0.0001433041,5.240171e-7,0.000362591,0.4421749,0.007403783,0.5442371,0.001407486,0.003939981],"study_design_scores_gemma":[0.0003300427,0.0001439345,0.0001246009,0.00002814064,0.00002217951,0.000005944651,0.0002292193,0.9760899,0.002461928,0.01190619,0.008530891,0.0001270236],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04679678,0.0002434117,0.9293776,0.01462892,0.00207788,0.002084156,0.0002151029,0.0003549226,0.004221197],"genre_scores_gemma":[0.9954822,0.0000902241,0.001473059,0.0001973638,0.0000588078,0.002265625,0.0001795472,0.00002437601,0.0002287904],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9486854,"threshold_uncertainty_score":0.5329785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09930254271828393,"score_gpt":0.309275324805017,"score_spread":0.2099727820867331,"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."}}