{"id":"W2487872317","doi":"10.4018/978-1-4666-4607-0.ch080","title":"Mobile Laboratory Model for Next-Generation Heterogeneous Wireless Systems","year":2013,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"IPv6, Mobility, Handover, Networks, Security","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université TÉLUQ; Université du Québec à Montréal","funders":"","keywords":"Computer science; Computer network; Mobile Web; Mobile technology; Wireless; Wireless Application Protocol; Mobile computing; Wireless network; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002924385,0.0005612444,0.0002929175,0.0003914179,0.0005847134,0.001823897,0.001394107,0.00156188,0.009066906],"category_scores_gemma":[0.0003813046,0.0002439831,0.0005441243,0.0004115288,0.0007246134,0.002723507,0.001108136,0.001513441,0.003654781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009577751,"about_ca_system_score_gemma":0.0007078477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008376541,"about_ca_topic_score_gemma":0.001012255,"domain_scores_codex":[0.9997477,0.00005959509,0.00001241249,0.00004805834,0.00009944462,0.00003286668],"domain_scores_gemma":[0.9998672,0.00004576729,0.00001139574,0.00002430622,0.00003100594,0.0000203112],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000394635,0.0000830403,0.000210503,0.0002816116,0.00001693076,0.0005897903,0.0004908222,0.01432522,0.009154925,0.8609452,0.02001358,0.09384886],"study_design_scores_gemma":[0.00002790899,0.0001541445,0.0002381254,0.0001936952,0.00003183376,0.001319926,0.0002228923,0.05108724,0.00454721,0.122417,0.8197248,0.0000351682],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009585164,0.01101427,0.7576137,0.002954014,0.001003004,0.0003532609,0.0001620327,0.001296038,0.2160186],"genre_scores_gemma":[0.2713009,0.02237326,0.3471509,0.002721607,0.0008565473,0.001196867,0.000622037,0.0003492439,0.3534286],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009066906,"threshold_uncertainty_score":0.03033185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02567262616665939,"score_gpt":0.221365144519904,"score_spread":0.1956925183532446,"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."}}