{"id":"W2108775423","doi":"10.1145/1089803.1089991","title":"Virtual backbone based on MCDS for topology control in wireless ad hoc networks","year":2005,"lang":"en","type":"article","venue":"","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Connected dominating set; Computer science; Wireless ad hoc network; Flooding (psychology); Computer network; Backbone network; Topology control; Relay; Distributed computing; Vehicular ad hoc network; Cluster analysis; Bandwidth (computing); Wireless network; Wireless; Topology (electrical circuits); Graph; Theoretical computer science; Key distribution in wireless sensor networks; Engineering","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":[0.000491258,0.000203633,0.0003247783,0.000114867,0.00006953763,0.00006566204,0.0007889884,0.0001994096,0.0001142008],"category_scores_gemma":[0.0000200166,0.0001853463,0.00009408269,0.0003039264,0.00006324369,0.0002136538,0.00008267874,0.0002444639,0.0000478563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001028115,"about_ca_system_score_gemma":0.00006696014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008174796,"about_ca_topic_score_gemma":0.0004785715,"domain_scores_codex":[0.9981788,0.0001183913,0.0003514279,0.0005532627,0.000177966,0.000620193],"domain_scores_gemma":[0.9982977,0.0007702966,0.00008001638,0.0006740201,0.00005274148,0.0001252241],"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":[0.0001857257,0.0002335067,0.000300213,0.000003177789,0.00001145868,0.0000112611,0.00005201951,0.4002905,0.00004707663,0.1143749,0.009122509,0.4753676],"study_design_scores_gemma":[0.002947789,0.0005496586,0.0004294809,0.00001548931,0.000003383376,0.000002673652,0.000006557805,0.9805822,0.00007556682,0.0002117509,0.01496077,0.0002146691],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004746281,0.00015225,0.9875221,0.004511124,0.0004935336,0.00060825,0.000001966228,0.0001613242,0.001803134],"genre_scores_gemma":[0.9685811,0.00002039145,0.01918211,0.0110314,0.00034059,0.0001989119,0.000005127165,0.0000178012,0.000622524],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.96834,"threshold_uncertainty_score":0.7558205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008369097214072021,"score_gpt":0.2345076984140569,"score_spread":0.2261386011999849,"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."}}