{"id":"W1540023932","doi":"10.1201/9781420040401.ch13","title":"Structured Proactive and Reactive Routing for Wireless Mobile Ad Hoc Networks","year":2002,"lang":"en","type":"book-chapter","venue":"The electrical engineering handbook/Electrical engineering handbook series/Electrical engineering handbook","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Mobile ad hoc network; Computer network; Wireless ad hoc network; Computer science; Ad hoc wireless distribution service; Optimized Link State Routing Protocol; Adaptive quality of service multi-hop routing; Vehicular ad hoc network; Routing (electronic design automation); Wireless; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003053271,0.001073971,0.0003865083,0.0006167917,0.0004015698,0.001342311,0.001264963,0.0009393329,0.00706417],"category_scores_gemma":[0.0005987975,0.000423767,0.0003405311,0.00137891,0.0006245057,0.001501953,0.0005450005,0.001255553,0.006409461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004706969,"about_ca_system_score_gemma":0.0006490407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005770848,"about_ca_topic_score_gemma":0.001157879,"domain_scores_codex":[0.9997261,0.0000399833,0.00001448212,0.00003519724,0.0001710263,0.00001316111],"domain_scores_gemma":[0.9998035,0.00008501995,0.00001289716,0.00003263824,0.0000519613,0.0000140692],"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":[0.00004359932,0.00007929285,0.0001079259,0.001230765,0.00002700197,0.0001783807,0.0002730707,0.01114326,0.009457726,0.1218846,0.09234279,0.7632316],"study_design_scores_gemma":[0.00002114423,0.0001391699,0.0003166039,0.0003065004,0.00002658206,0.0007359491,0.00008748966,0.02098943,0.001775116,0.05788802,0.9176712,0.00004276901],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004642976,0.1562583,0.624552,0.001930796,0.005374581,0.0005044564,0.0003736987,0.003802659,0.2025605],"genre_scores_gemma":[0.04977838,0.1612871,0.4733306,0.001479807,0.002742671,0.000756919,0.001453431,0.0007372153,0.308434],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00706417,"threshold_uncertainty_score":0.02363199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005944553031767373,"score_gpt":0.1776501990910059,"score_spread":0.1717056460592385,"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."}}