{"id":"W1963484481","doi":"10.1109/cjece.2004.1425808","title":"Perfor mance of a QoS-based multiple-route ad hoc on-demand distance vector protocol for mobile ad hoc networks","year":2004,"lang":"en","type":"article","venue":"Canadian Journal of Electrical and Computer Engineering","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; National Institute of Standards and Technology; University of Calgary","keywords":"Computer network; Computer science; Quality of service; Mobile ad hoc network; Optimized Link State Routing Protocol; Backup; Ad hoc On-Demand Distance Vector Routing; Adaptive quality of service multi-hop routing; Ad hoc wireless distribution service; Routing protocol; Distance-vector routing protocol; Wireless Routing Protocol; Wireless ad hoc network; Network packet; Distributed computing; Wireless; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0008616881,0.0005455691,0.00039796,0.0003711708,0.0003842053,0.001005878,0.000919895,0.0007903994,0.001074597],"category_scores_gemma":[0.001790892,0.0001878349,0.0003047893,0.0004108022,0.0004871459,0.001702539,0.0007782095,0.000639789,0.0003593056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003578555,"about_ca_system_score_gemma":0.00035752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000693614,"about_ca_topic_score_gemma":0.0008528644,"domain_scores_codex":[0.9992564,0.0002445731,0.00002896543,0.00005835568,0.0003676625,0.00004408078],"domain_scores_gemma":[0.9995763,0.0001643248,0.0000298217,0.00005776403,0.0001466385,0.00002521459],"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":[0.0002516227,0.0001303338,0.001747532,0.0006664646,0.0001529281,0.0009002134,0.0005505261,0.1337677,0.07643514,0.1851497,0.006041056,0.5942067],"study_design_scores_gemma":[0.00006653036,0.0006631736,0.0004192971,0.00007419245,0.0001196969,0.001579346,0.0002885046,0.8597732,0.02179227,0.03641121,0.0787546,0.00005798781],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03122381,0.006133297,0.9412466,0.001511039,0.0005431388,0.0001453838,0.00002172678,0.0003360987,0.01883891],"genre_scores_gemma":[0.7109612,0.009987803,0.2624352,0.0004229471,0.0004203242,0.0001749877,0.000148567,0.0001148523,0.01533423],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001074597,"threshold_uncertainty_score":0.004557133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00743421366381781,"score_gpt":0.2090951399277899,"score_spread":0.2016609262639721,"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."}}