{"id":"W2122466841","doi":"10.1109/ccece.2001.933605","title":"Load-balanced wireless ad hoc routing","year":2002,"lang":"en","type":"article","venue":"","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Wireless ad hoc network; Computer network; Ad hoc wireless distribution service; Optimized Link State Routing Protocol; Adaptive quality of service multi-hop routing; Mobile ad hoc network; Wireless Routing Protocol; Ad hoc On-Demand Distance Vector Routing; Wireless; Routing (electronic design automation); Routing protocol; 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":[0.0001605774,0.0001167103,0.0001338182,0.00002224772,0.00008923313,0.0001394847,0.0008386258,0.00005723155,0.0003193289],"category_scores_gemma":[0.00001294056,0.0001037047,0.00004850462,0.000333452,0.00002339091,0.0003318542,0.000246682,0.0001350725,0.0006779131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006435467,"about_ca_system_score_gemma":0.00001606387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000753474,"about_ca_topic_score_gemma":0.0000189006,"domain_scores_codex":[0.998766,0.00003193306,0.0001777208,0.0003635923,0.0002882241,0.0003725163],"domain_scores_gemma":[0.9990748,0.00006995734,0.0000566833,0.0006484648,0.00005483776,0.00009525494],"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":[0.000002043055,0.00007924651,0.0006464774,0.000006724558,0.00001518144,0.0000455486,0.0008327761,0.0005108667,0.0006310322,0.07616442,0.02919122,0.8918744],"study_design_scores_gemma":[0.0003017345,0.00004100987,0.0004578012,0.00001752246,0.000001677268,0.00001499952,0.00001160589,0.982843,0.0007616626,0.000452109,0.01488747,0.0002093661],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02846114,0.0007412544,0.8603048,0.001211282,0.0006325701,0.0001906598,3.151775e-7,0.0008103875,0.1076476],"genre_scores_gemma":[0.9719533,0.00007510843,0.02103707,0.0009001773,0.0000976404,0.00001327538,2.671507e-7,0.000009185224,0.005913943],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9823322,"threshold_uncertainty_score":0.8713427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01554130752314855,"score_gpt":0.2176097126767927,"score_spread":0.2020684051536441,"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."}}