{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001334603,0.0001457728,0.0001664315,0.00004128644,0.00008524333,0.00002085984,0.0001205466,0.0001185217,0.0001901195],"category_scores_gemma":[0.00001742523,0.0001482632,0.00006808278,0.0001287365,0.00003340702,0.000162193,0.00002386974,0.0001024022,0.00001813878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001094522,"about_ca_system_score_gemma":0.00001449819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001637922,"about_ca_topic_score_gemma":0.000054296,"domain_scores_codex":[0.9991804,0.00001512653,0.0002139412,0.0001769142,0.0001122221,0.0003014055],"domain_scores_gemma":[0.9995636,0.00006219468,0.00001878798,0.0002399741,0.00004628388,0.00006915776],"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":[0.0000310275,0.00004366092,0.000285886,0.00006875179,0.00003553321,0.000006094922,0.0005094457,0.9847511,0.0001582838,0.001636809,0.0106734,0.001800019],"study_design_scores_gemma":[0.0009969031,0.0000547387,0.0003211461,0.000009333844,0.00001619006,0.00002298014,0.00003910859,0.9835924,0.001790797,0.00119094,0.01166013,0.0003053417],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1169034,0.000239124,0.872129,0.00006272302,0.000965984,0.0005561186,0.00001446839,0.0007496919,0.008379434],"genre_scores_gemma":[0.9297634,0.000116332,0.06894584,0.0001213744,0.0004999394,0.00008825643,0.00004983607,0.0000509825,0.0003639908],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.81286,"threshold_uncertainty_score":0.6045998,"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."}}