{"id":"W1996461238","doi":"10.1109/glocom.2008.ecp.119","title":"Vertical Handoff between 802.11 and 802.16 Wireless Access Networks","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bell (Canada); University of Waterloo","funders":"","keywords":"Handover; Computer network; Computer science; Quality of service; Wireless network; Overhead (engineering); Wireless; Scheme (mathematics); Telecommunications","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":[0.00005452388,0.0002235404,0.000289799,0.00006452011,0.0001075782,0.00005191638,0.0001652251,0.0001676591,0.00006356364],"category_scores_gemma":[0.000011254,0.0002182091,0.00003758188,0.0002890864,0.00009948351,0.0004612476,0.00009679871,0.000202796,0.00001172464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006609718,"about_ca_system_score_gemma":0.000009420714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001925576,"about_ca_topic_score_gemma":0.00003800764,"domain_scores_codex":[0.9988868,0.00002128,0.0002706615,0.000250541,0.0001545792,0.0004161232],"domain_scores_gemma":[0.999409,0.0001337846,0.00001710181,0.0002232339,0.00003839163,0.0001785339],"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":[0.00001062053,0.00001197006,0.07758894,0.00002017012,0.00003800254,0.00001310801,0.00004112636,0.9091858,0.00003567682,0.0004042729,0.004101984,0.008548302],"study_design_scores_gemma":[0.0007984323,0.0000228892,0.0256468,0.00004196183,0.00002821629,0.00002194742,0.000008820571,0.9703965,0.001184714,0.0001037971,0.00130346,0.0004424672],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3682493,0.0002366674,0.6285478,0.00002948766,0.000155473,0.0001324311,0.000001665464,0.0004767041,0.002170538],"genre_scores_gemma":[0.9964547,0.0007300944,0.002055151,0.00006700656,0.0004010176,0.00001918748,0.00003713778,0.0000681223,0.0001676461],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6282054,"threshold_uncertainty_score":0.8898309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01677960411620442,"score_gpt":0.2292020925920033,"score_spread":0.2124224884757989,"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."}}