{"id":"W2149601926","doi":"10.1109/iscc.2009.5202319","title":"Performance evaluation of MANETs virtual backbone formation algorithms","year":2009,"lang":"en","type":"article","venue":"","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Connected dominating set; Mobile ad hoc network; Algorithm; Wireless ad hoc network; Distributed computing; Topology control; Precomputation; Heuristics; Computer network; Network topology; Wireless network; Logical topology; Overhead (engineering); Wireless; Topology (electrical circuits); Computation; Mathematics","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":[0.004833711,0.00116116,0.001287069,0.001821796,0.0009985466,0.001386157,0.001585674,0.0009635474,0.001359343],"category_scores_gemma":[0.01387742,0.000216707,0.0003390853,0.001744348,0.000656573,0.001622114,0.001174582,0.0004780627,0.0003048879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002336841,"about_ca_system_score_gemma":0.001599533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002949317,"about_ca_topic_score_gemma":0.001993492,"domain_scores_codex":[0.9960008,0.001863275,0.0002350342,0.0003752456,0.001041929,0.0004836793],"domain_scores_gemma":[0.9892164,0.006986194,0.0008217367,0.0008261433,0.001742165,0.000407347],"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":[0.0005688919,0.0002052351,0.001937859,0.0001018948,0.00006638749,0.0000341679,0.00004491466,0.9445794,0.001517073,0.003371179,0.001074161,0.0464988],"study_design_scores_gemma":[0.00002914838,0.0003241419,0.0004313453,0.000008408026,0.00001640978,0.00004105366,0.00004388369,0.9956097,0.002187023,0.0008837759,0.0004166931,0.000008459041],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7527581,0.004757516,0.2138874,0.0007820465,0.0003294561,0.0005272905,0.0005832945,0.001979684,0.02439524],"genre_scores_gemma":[0.9626584,0.0005908089,0.03501282,0.00005290882,0.00002459851,0.0001076116,0.0004106012,0.00006078199,0.001081426],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.004833711,"threshold_uncertainty_score":0.02556342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02387702711367132,"score_gpt":0.2628639619110938,"score_spread":0.2389869347974225,"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."}}