{"id":"W157693642","doi":"10.1007/978-3-540-28634-9_28","title":"Realistic Mobility for Mobile Ad Hoc Network Simulation","year":2004,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":63,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Mobility model; Mobile ad hoc network; Ad hoc On-Demand Distance Vector Routing; Optimized Link State Routing Protocol; Wireless ad hoc network; Computer network; Distributed computing; Routing (electronic design automation); Destination-Sequenced Distance Vector routing; Routing protocol; Link-state routing protocol; 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":[0.0004330174,0.0006258732,0.0008526963,0.0004955818,0.0004932534,0.0009074239,0.001649116,0.001301063,0.005191929],"category_scores_gemma":[0.003810727,0.0006505207,0.0004938561,0.0007965132,0.000430585,0.001392336,0.001123936,0.001127595,0.001269545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000610987,"about_ca_system_score_gemma":0.000393434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00275057,"about_ca_topic_score_gemma":0.001763781,"domain_scores_codex":[0.9996576,0.0001442359,0.00001643853,0.00003297011,0.0001240395,0.00002462748],"domain_scores_gemma":[0.9992167,0.0004580738,0.00004648973,0.0001196172,0.0001212734,0.00003786562],"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":[0.00002318985,0.00002520283,0.0001319528,0.00005987004,0.00001562816,0.00004827827,0.00003892023,0.9517174,0.001026453,0.0305324,0.002238219,0.01414237],"study_design_scores_gemma":[0.000005895937,0.000006894831,0.00002150758,0.000006373454,0.00000317172,0.00001563923,0.000004668992,0.9893506,0.0001703658,0.008119391,0.002292022,0.000003458495],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009811739,0.001200028,0.9714217,0.0004220276,0.0002156628,0.00009049619,0.0002737112,0.0009050211,0.01565954],"genre_scores_gemma":[0.5202558,0.003213941,0.4527548,0.0002424005,0.0002774258,0.0006449325,0.00123092,0.0007273416,0.02065242],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005191929,"threshold_uncertainty_score":0.01736873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01821197754463653,"score_gpt":0.2680232259325639,"score_spread":0.2498112483879274,"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."}}