{"id":"W4399666151","doi":"10.1109/jsac.2024.3414597","title":"WiShield: Privacy Against Wi-Fi Human Tracking","year":2024,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Basic and Applied Basic Research Foundation of Guangdong Province; National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Computer science; Computer network; Information privacy; Privacy protection; Computer security","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001484653,0.0001448607,0.0001731274,0.0004610029,0.002014661,0.0007812386,0.002128152,0.0001672235,0.00007431865],"category_scores_gemma":[0.001568044,0.0001474667,0.00008954782,0.001571078,0.0002258619,0.0008820646,0.0001791628,0.001729743,0.00006627734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005153907,"about_ca_system_score_gemma":0.0005744036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005038073,"about_ca_topic_score_gemma":0.006338627,"domain_scores_codex":[0.9975483,0.000974197,0.0004617464,0.0002132201,0.0004295201,0.0003730222],"domain_scores_gemma":[0.9977878,0.0006541208,0.0001417674,0.0009971281,0.0002533144,0.0001658979],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001614034,0.004216759,0.01363351,0.0001905048,0.0006115175,0.0002946914,0.1656262,0.0003739101,0.02939695,0.3162971,0.1386252,0.3305722],"study_design_scores_gemma":[0.0009060198,0.0002426214,0.01400612,0.00182247,0.00007574273,0.00009664153,0.003699536,0.001471424,0.001115819,0.08840212,0.887333,0.0008284186],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8082116,0.007487552,0.003044881,0.06144083,0.003249364,0.001295097,0.00008052201,0.001207869,0.1139823],"genre_scores_gemma":[0.9927387,0.005347525,0.0007473771,0.000295088,0.000609907,0.00002828922,0.00003675845,0.00002335122,0.0001730347],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7487078,"threshold_uncertainty_score":0.9992846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08218276517780866,"score_gpt":0.3832439479129203,"score_spread":0.3010611827351117,"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."}}