{"id":"W2047377413","doi":"10.1145/381591.381614","title":"Routing with load balancing in wireless Ad hoc networks","year":2001,"lang":"en","type":"article","venue":"","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":231,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer network; Computer science; Wireless Routing Protocol; Wireless ad hoc network; Optimized Link State Routing Protocol; Dynamic Source Routing; Distributed computing; Routing protocol; Destination-Sequenced Distance Vector routing; Link-state routing protocol; Ad hoc wireless distribution service; Geographic routing; Network packet; 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":[0.001510288,0.001071356,0.0009064923,0.0009825719,0.0009036026,0.001525618,0.001401165,0.001350939,0.001270216],"category_scores_gemma":[0.003974646,0.0004722929,0.0003458004,0.00189052,0.0008919534,0.003317535,0.001239641,0.0007345183,0.0008604377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005952096,"about_ca_system_score_gemma":0.0005422377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007387446,"about_ca_topic_score_gemma":0.000725726,"domain_scores_codex":[0.9986839,0.000522464,0.00008102348,0.0001431763,0.0004916022,0.00007787599],"domain_scores_gemma":[0.9990939,0.0004235829,0.0001181848,0.0001503601,0.0001736581,0.00004036418],"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":[0.0002319959,0.0001663205,0.0009138476,0.0006143939,0.0001119848,0.0003306761,0.0002338324,0.4655898,0.01105519,0.06238692,0.01117808,0.4471869],"study_design_scores_gemma":[0.00009618237,0.0002282355,0.0003904956,0.00007799618,0.00007521643,0.0004059505,0.0001065693,0.8614073,0.003979772,0.08931038,0.0438694,0.00005251599],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01331824,0.006585602,0.9673818,0.0009342236,0.0007064558,0.0002477931,0.00005417212,0.001627063,0.009144589],"genre_scores_gemma":[0.5646131,0.01384267,0.4028518,0.0006983096,0.002177109,0.0008991631,0.0003991369,0.0003922753,0.01412642],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001525618,"threshold_uncertainty_score":0.007987261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007621184751426363,"score_gpt":0.2102234625760273,"score_spread":0.2026022778246009,"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."}}