{"id":"W2169087651","doi":"10.1109/pimrc.1998.731457","title":"Security system for wireless local area networks","year":2002,"lang":"en","type":"article","venue":"","topic":"IPv6, Mobility, Handover, Networks, Security","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Computer science; Network Access Control; Computer security; Wireless network; Wireless intrusion prevention system; Computer network; Municipal wireless network; Wi-Fi; Network security policy; Wireless; Software deployment; Wireless WAN; Wireless security; Local area network; Security service; Computer security model; Wireless Transport Layer Security; Wi-Fi array; Cloud computing security; Telecommunications; Information security; Cloud computing; Operating system","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002498485,0.0009213042,0.0009363956,0.001882333,0.002514758,0.004121934,0.001345116,0.002575869,0.01400066],"category_scores_gemma":[0.005079869,0.0004044404,0.000701144,0.00111325,0.001427332,0.003622828,0.002786136,0.003053116,0.01228553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001368318,"about_ca_system_score_gemma":0.002380281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001228248,"about_ca_topic_score_gemma":0.0006309779,"domain_scores_codex":[0.9969456,0.0007266457,0.000442433,0.0003744415,0.001234474,0.0002764527],"domain_scores_gemma":[0.9976029,0.0004922117,0.0002059303,0.0006375925,0.0009070833,0.0001543742],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002624598,0.000155193,0.00119101,0.001187799,0.0001392175,0.001114365,0.001440783,0.004153327,0.02432844,0.5808029,0.140738,0.2444865],"study_design_scores_gemma":[0.0001034025,0.0002319959,0.0007519888,0.0005073855,0.0001122879,0.001448233,0.000153812,0.01965754,0.01274207,0.05890679,0.9052738,0.0001108585],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01061517,0.0112334,0.7837948,0.005303445,0.003035571,0.002571975,0.001590225,0.03178157,0.1500739],"genre_scores_gemma":[0.2753495,0.0125272,0.4917654,0.005765982,0.002683671,0.005876121,0.007685054,0.001925129,0.196422],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01400066,"threshold_uncertainty_score":0.04683685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01012155446199374,"score_gpt":0.1810731949161872,"score_spread":0.1709516404541934,"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."}}