{"id":"W2100252439","doi":"10.1109/mascot.2001.948858","title":"Performance study of a multipath routing method for wireless mobile ad hoc networks","year":2002,"lang":"en","type":"article","venue":"","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":112,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Computer network; Multipath routing; Optimized Link State Routing Protocol; Distributed computing; Mobile ad hoc network; Wireless ad hoc network; Destination-Sequenced Distance Vector routing; Dynamic Source Routing; Wireless Routing Protocol; Vehicular ad hoc network; Routing protocol; Routing (electronic design automation); Wireless; Telecommunications; Network packet","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":[0.0007617055,0.0002055239,0.0003638151,0.00006671003,0.0001623677,0.0000672536,0.001037727,0.00008770722,0.00003602631],"category_scores_gemma":[0.00001518421,0.000178824,0.00009116893,0.0005141237,0.00002212289,0.0003850054,0.0003541892,0.0001770426,0.000007428885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000349355,"about_ca_system_score_gemma":0.00001123884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001260322,"about_ca_topic_score_gemma":0.00004041928,"domain_scores_codex":[0.998072,0.0001204217,0.000482332,0.000561649,0.0002717215,0.0004918998],"domain_scores_gemma":[0.99823,0.0004366419,0.0002177619,0.0008811848,0.0001390803,0.00009530977],"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":[0.00001232739,0.0005744233,0.00201253,0.00001982946,0.00003446133,0.000002478375,0.003091197,0.1092953,0.00004415822,0.0003993395,0.0005007598,0.8840132],"study_design_scores_gemma":[0.001095652,0.001103155,0.0006113591,0.0000255909,0.00001314003,0.000005100474,0.0003477575,0.9956829,0.0001648722,0.000008971828,0.0007311224,0.0002103634],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2466411,0.0004221745,0.7507978,0.0000115164,0.0002431819,0.001225328,5.345865e-7,0.0001522251,0.0005061101],"genre_scores_gemma":[0.8315235,0.000104522,0.1672796,0.00007135161,0.00008100361,0.0004503612,6.173463e-7,0.00001824467,0.0004707929],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8863876,"threshold_uncertainty_score":0.7292231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02484175342221162,"score_gpt":0.2738050662479757,"score_spread":0.2489633128257641,"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."}}