{"id":"W2160960055","doi":"10.1504/ijahuc.2008.017003","title":"A multi-gateway-based architecture for integrating ad hoc networks with the internet using multiple Foreign Agents","year":2008,"lang":"en","type":"article","venue":"International Journal of Ad Hoc and Ubiquitous Computing","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Computer network; Mobile ad hoc network; Ad hoc On-Demand Distance Vector Routing; The Internet; Wireless ad hoc network; Vehicular ad hoc network; Distributed computing; Optimized Link State Routing Protocol; Routing protocol; Wireless; Routing (electronic design automation); Telecommunications; World Wide Web; Network packet","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006510324,0.0002954254,0.0003508917,0.0001927383,0.0003351601,0.0003094156,0.001473584,0.00009757293,0.000002954491],"category_scores_gemma":[0.0001027419,0.000194851,0.0002371553,0.000203717,0.0001528585,0.000299065,0.0003351073,0.0006106853,4.862594e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001293529,"about_ca_system_score_gemma":0.000171864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001076369,"about_ca_topic_score_gemma":0.00006522016,"domain_scores_codex":[0.9978883,0.0001301283,0.0006415234,0.0003594184,0.0005672385,0.0004133894],"domain_scores_gemma":[0.9972088,0.0008218837,0.000899856,0.0002357031,0.0006883306,0.0001454322],"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":[0.0005422183,0.0001685805,0.002994569,0.00002263132,0.0004605167,0.0003718652,0.004853812,0.7540999,0.0002846006,0.0003410193,0.0008220833,0.2350382],"study_design_scores_gemma":[0.002246637,0.0004548988,0.0008922828,0.0004413241,0.00002827595,0.001535534,0.0002400962,0.9914524,0.0001691304,0.00008888733,0.002222116,0.0002284395],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2770492,0.001432035,0.7202834,0.0003534457,0.0005923921,0.0002347534,0.000002526948,0.00003444162,0.00001777413],"genre_scores_gemma":[0.7175649,0.00005382481,0.2812371,0.0006293455,0.0004653605,0.000004105886,0.000003340558,0.00002365283,0.00001832101],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4405158,"threshold_uncertainty_score":0.7945791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02743018906515966,"score_gpt":0.26521412167319,"score_spread":0.2377839326080304,"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."}}