{"id":"W2795481253","doi":"10.1109/noms.2018.8406248","title":"Protecting location privacy in opportunistic mobile social networks","year":2018,"lang":"en","type":"article","venue":"","topic":"Opportunistic and Delay-Tolerant Networks","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Obfuscation; Computer science; Internet privacy; Encryption; Computer security; Information privacy; Protocol (science); Privacy protection; Privacy software","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":[0.0006454312,0.0001418166,0.0001719766,0.00008822125,0.0003035412,0.0001502896,0.0005630667,0.0001214098,0.00007956716],"category_scores_gemma":[0.00001496869,0.0001338874,0.00003424083,0.0006459504,0.00009475582,0.0003167828,0.0002485214,0.0002529984,0.00005873178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005787747,"about_ca_system_score_gemma":0.0001322951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004208755,"about_ca_topic_score_gemma":0.00001954691,"domain_scores_codex":[0.9985567,0.00009449307,0.0003435629,0.0003930642,0.0002016776,0.0004104906],"domain_scores_gemma":[0.9991976,0.00008687464,0.0001166949,0.0003510252,0.0001470452,0.0001007287],"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":[0.00002214752,0.0001606842,0.00133621,0.00002110814,0.00001288321,0.00005606689,0.002149711,0.0004079498,0.00004731879,0.06444011,0.003966546,0.9273793],"study_design_scores_gemma":[0.0002358156,0.000113388,0.0007038382,0.0000230168,0.000002842606,0.00001373225,0.00007247237,0.9941204,0.000009765055,0.002843744,0.001673647,0.0001873842],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0061421,0.00002155326,0.9774496,0.0002209494,0.0004137217,0.0003891128,2.802392e-7,0.0002092024,0.01515349],"genre_scores_gemma":[0.9886492,0.00000362352,0.009551302,0.0004468682,0.0006478176,0.00007411449,0.000004849954,0.00001096861,0.0006111994],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9937124,"threshold_uncertainty_score":0.5459771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02900099239157509,"score_gpt":0.2733860861188367,"score_spread":0.2443850937272617,"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."}}