{"id":"W2139063134","doi":"10.1109/waina.2008.263","title":"Intra Domain Route Optimization for Ubiquitous","year":2008,"lang":"en","type":"article","venue":"","topic":"IPv6, Mobility, Handover, Networks, Security","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Computer science; Computer network; Mobility management; Handover; Network architecture; Distributed computing; Mobile IP; Wireless network; Routing protocol; Routing (electronic design automation); Wireless; 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":[0.0003826273,0.000338978,0.0002942496,0.0004232912,0.0004656268,0.0005757306,0.0005203746,0.0003681293,0.002201902],"category_scores_gemma":[0.0008497589,0.0001004715,0.0002535424,0.0004737599,0.000233504,0.001290358,0.0007480661,0.0004383395,0.0003609138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004698965,"about_ca_system_score_gemma":0.0004795691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009059561,"about_ca_topic_score_gemma":0.00157135,"domain_scores_codex":[0.9996194,0.0001207692,0.00001501424,0.00006429134,0.000126807,0.00005371056],"domain_scores_gemma":[0.9995615,0.00007328193,0.00006526912,0.0001643747,0.0001076589,0.0000277762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002858554,0.0001586144,0.002363693,0.0002122734,0.00006524051,0.0002584018,0.0002378984,0.3105712,0.08931699,0.1546167,0.007048011,0.4348651],"study_design_scores_gemma":[0.00002851593,0.000295645,0.001194655,0.00001714295,0.00004896182,0.0007015307,0.0001453385,0.9187167,0.02465615,0.02937083,0.02478836,0.00003617973],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06184184,0.0006145469,0.9261215,0.0002450517,0.00007018432,0.00005222126,0.00005883182,0.0004991404,0.01049679],"genre_scores_gemma":[0.7917842,0.0004116284,0.200905,0.00006753487,0.00004974237,0.00003675328,0.0001145488,0.0000788449,0.006551731],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002201902,"threshold_uncertainty_score":0.007366121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009758949927522293,"score_gpt":0.1982835233200482,"score_spread":0.1885245733925259,"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."}}