{"id":"W2028067429","doi":"10.1016/j.comcom.2008.10.012","title":"QoS routing with traffic distribution in mobile ad hoc networks","year":2008,"lang":"en","type":"article","venue":"Computer Communications","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":49,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer network; Computer science; Ad hoc On-Demand Distance Vector Routing; Distributed computing; Mobile ad hoc network; Optimized Link State Routing Protocol; Adaptive quality of service multi-hop routing; Routing protocol; Wireless Routing Protocol; Destination-Sequenced Distance Vector routing; Dynamic Source Routing; 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":[0.0002737415,0.0002042129,0.0002473067,0.00007795846,0.000506852,0.0001164861,0.003137714,0.00009838228,0.000003988263],"category_scores_gemma":[0.000006316489,0.0001987689,0.00006591033,0.001100089,0.0002105025,0.0004846921,0.001239566,0.0005376139,0.00002731013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001461053,"about_ca_system_score_gemma":0.00009747851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005480299,"about_ca_topic_score_gemma":0.0001339506,"domain_scores_codex":[0.9982852,0.0002641467,0.0004038032,0.0004150591,0.0002007113,0.0004310476],"domain_scores_gemma":[0.9960128,0.0003466331,0.0001534632,0.003259212,0.0001136653,0.0001142372],"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":[0.00001051552,0.0005251794,0.002418116,0.000006089134,0.00003145661,0.00003684417,0.002214201,0.5190324,0.000002802573,0.009874913,0.004106115,0.4617414],"study_design_scores_gemma":[0.0004602032,0.00012692,0.009859287,0.00006934643,0.00000436041,0.0001025841,0.00001617588,0.9583679,0.000002453101,0.00003535327,0.0307119,0.0002435106],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03250214,0.005280019,0.9603698,0.0005069094,0.0002176504,0.0005124169,0.00000316897,0.0003746348,0.000233246],"genre_scores_gemma":[0.8858461,0.002003008,0.1114719,0.0001834872,0.0001049252,0.0002354184,0.0001084363,0.00001682942,0.00002988796],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.853344,"threshold_uncertainty_score":0.8105562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02164145427795417,"score_gpt":0.2401051350081182,"score_spread":0.218463680730164,"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."}}