{"id":"W2117045531","doi":"10.1109/wcnc.1999.797839","title":"Roaming between heterogeneous 3rd generation wireless networks","year":2003,"lang":"en","type":"article","venue":"","topic":"Mobile Agent-Based Network Management","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nortel (Canada)","funders":"","keywords":"Roaming; Computer science; Wireless network; Computer network; Heterogeneous network; Wireless; Wireless WAN; Key (lock); Radio resource management; Telecommunications; Next-generation network; Wi-Fi array; Computer security; The Internet; World Wide Web","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":[],"consensus_categories":[],"category_scores_codex":[0.0004143647,0.0001776733,0.0001649927,0.00007821675,0.0001734594,0.0002514631,0.0005838492,0.00006618119,0.00005062459],"category_scores_gemma":[0.000007065538,0.0001705397,0.00006967525,0.0003822376,0.00001759923,0.0002707439,0.000175577,0.0001031103,0.00007284681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001027336,"about_ca_system_score_gemma":0.00002755454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001778171,"about_ca_topic_score_gemma":0.00002750528,"domain_scores_codex":[0.9983278,0.000166838,0.0002868179,0.0005114879,0.0002760088,0.0004310854],"domain_scores_gemma":[0.99896,0.00005609599,0.00008510536,0.0007343499,0.0000399051,0.0001245141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001499565,0.00006668222,0.004426397,0.00001305069,0.0001066039,0.00007797966,0.0001034507,0.5523925,0.0002878641,0.1167254,0.01683,0.3089685],"study_design_scores_gemma":[0.0002248755,0.00005668059,0.0002290179,0.000006704429,0.00001229318,0.000006224265,0.000003797784,0.9806843,0.005163816,0.0001820465,0.01315172,0.0002785359],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05013438,0.0001442747,0.9444613,0.00009950271,0.0005015281,0.0002702496,2.139964e-7,0.0003540957,0.004034393],"genre_scores_gemma":[0.9739535,0.0000262999,0.02435757,0.000761407,0.0003138143,0.00004091366,0.000008381555,0.0000157699,0.0005222902],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9238192,"threshold_uncertainty_score":0.6954409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02516275155186809,"score_gpt":0.2266783744689801,"score_spread":0.2015156229171121,"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."}}