{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004364672,0.0001660954,0.0002002634,0.00005042521,0.00007529347,0.0001578081,0.0007022408,0.00008080501,0.00003153213],"category_scores_gemma":[0.000007786946,0.0001347949,0.00002920656,0.0008883384,0.00002703571,0.0004581584,0.0002393441,0.0002819637,0.00002670905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001428214,"about_ca_system_score_gemma":0.00008283396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007775106,"about_ca_topic_score_gemma":0.00160429,"domain_scores_codex":[0.9983456,0.00005354884,0.0002448975,0.000470343,0.0002963596,0.0005892919],"domain_scores_gemma":[0.9990723,0.0001106768,0.00007565967,0.0005820249,0.00005608099,0.0001032703],"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":[0.0000476791,0.0001106549,0.1093939,0.000008517234,0.00002193576,0.0006504523,0.0008330364,0.1235091,0.00005988015,0.02710816,0.001157184,0.7370994],"study_design_scores_gemma":[0.0005037441,0.00006576863,0.0089562,0.00009295055,0.000001812704,0.00007140234,0.00003896637,0.9883947,0.00002776871,0.0001083096,0.001501375,0.000237036],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1149806,0.0003640114,0.8699473,0.0002456599,0.00018071,0.000167203,4.209792e-8,0.0002480804,0.01386643],"genre_scores_gemma":[0.983345,0.0001303933,0.01522523,0.0005690213,0.0001067008,0.0000195751,6.612065e-7,0.00001432104,0.0005891334],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8683644,"threshold_uncertainty_score":0.5496777,"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."}}