{"id":"W2083262093","doi":"10.1109/tvt.2013.2252931","title":"A Multihop-Authenticated Proxy Mobile IP Scheme for Asymmetric VANETs","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Universidad ICESI","keywords":"Computer network; Computer science; Handover; Wireless ad hoc network; Vehicular ad hoc network; Mobility management; Transmission (telecommunications); Telecommunications; Wireless","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00014344,0.0004465853,0.0004724754,0.001117939,0.0001991012,0.00005752142,0.000476634,0.0007912974,0.0001803851],"category_scores_gemma":[0.00002462152,0.0004617945,0.0002555667,0.001658194,0.0001531221,0.0001956381,0.000004105847,0.0008000365,0.0007788985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001701741,"about_ca_system_score_gemma":0.00003756863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002506046,"about_ca_topic_score_gemma":0.00001816691,"domain_scores_codex":[0.9977728,0.00003162726,0.0004917631,0.0005570306,0.000244344,0.0009024382],"domain_scores_gemma":[0.998603,0.0001040869,0.00006584016,0.0008383271,0.0001838181,0.000204946],"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":[0.00001666389,0.0003144929,0.00002253259,0.000117127,0.0004191161,0.00001477592,0.00005015896,0.8891592,0.02959118,0.000141502,0.001171219,0.07898202],"study_design_scores_gemma":[0.001189352,0.0002666294,0.00003671798,0.00004688129,0.0001015884,0.00005157761,0.00008913565,0.9029803,0.08535556,0.0004227852,0.008950244,0.0005091885],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4030997,0.0006848852,0.5896958,0.0003054167,0.0005875285,0.002712842,0.00003118324,0.002775646,0.0001071083],"genre_scores_gemma":[0.9837313,0.0001006648,0.01114913,0.00008376525,0.00004914284,0.00449263,0.00001927243,0.0001597821,0.0002143301],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5806316,"threshold_uncertainty_score":0.9999991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00607315678606269,"score_gpt":0.2098550365995565,"score_spread":0.2037818798134938,"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."}}