{"id":"W2131289279","doi":"10.1109/wcnc.2007.758","title":"A Ticket ID System for Service Agent Based Authentication in WLAN/Cellular Integrated Networks","year":2007,"lang":"en","type":"article","venue":"","topic":"IPv6, Mobility, Handover, Networks, Security","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Ticket; Computer science; Computer network; Service (business); Authentication (law); Overhead (engineering); Intelligent Network; Process (computing); Computer security; 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":[0.0009750684,0.0003612569,0.0005260948,0.0009311137,0.0008304351,0.001556636,0.001392033,0.0008660499,0.003613655],"category_scores_gemma":[0.001371055,0.0002289961,0.0002814361,0.000549459,0.0004335912,0.001802835,0.001042309,0.001179566,0.002266491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007285682,"about_ca_system_score_gemma":0.0009806873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001566559,"about_ca_topic_score_gemma":0.001129734,"domain_scores_codex":[0.9991751,0.0001770596,0.00008706634,0.000103693,0.0003520757,0.0001049847],"domain_scores_gemma":[0.9991697,0.00009840494,0.00006503549,0.0001438731,0.0004119898,0.0001110184],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002567899,0.0005755143,0.004927653,0.0006049402,0.0001530821,0.001336606,0.0005916678,0.01287102,0.2199277,0.09985565,0.02784047,0.6287479],"study_design_scores_gemma":[0.0003669254,0.00184441,0.002868207,0.0001191089,0.0003115505,0.002651482,0.0002110971,0.5427849,0.2485092,0.01017252,0.1898565,0.0003040868],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03879804,0.0008978767,0.9419999,0.0002661299,0.0006056519,0.0004070819,0.0001229393,0.009061768,0.007840548],"genre_scores_gemma":[0.6125654,0.0007421172,0.3667833,0.000378985,0.0002474558,0.0002870844,0.0007422396,0.0002260016,0.01802739],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003613655,"threshold_uncertainty_score":0.01208889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009989478726281698,"score_gpt":0.21105384994375,"score_spread":0.2010643712174683,"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."}}