{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001085334,0.0004444013,0.0006551098,0.001045826,0.0006574109,0.0007977746,0.001024644,0.0005127393,0.001284128],"category_scores_gemma":[0.002368437,0.0002338556,0.0003956157,0.001012096,0.0006086166,0.001263827,0.0009540452,0.0005335201,0.0001795157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006714644,"about_ca_system_score_gemma":0.0005989276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002202085,"about_ca_topic_score_gemma":0.002754239,"domain_scores_codex":[0.9994258,0.0002415078,0.00003407295,0.0000749503,0.000186567,0.00003717843],"domain_scores_gemma":[0.9992694,0.0003461213,0.00007503749,0.0000742043,0.0001930911,0.00004210803],"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":[0.000160609,0.00007472382,0.0009162545,0.000243582,0.00007216488,0.0001043399,0.0001957199,0.671506,0.006095385,0.06220319,0.002628229,0.2557997],"study_design_scores_gemma":[0.00002273284,0.0001034787,0.0001335991,0.00001551261,0.00001887997,0.00004955664,0.00003716108,0.976908,0.001498937,0.01683152,0.004368558,0.00001207481],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009205231,0.0005214193,0.9879324,0.000169777,0.00006647341,0.00005213758,0.00002856549,0.0002103857,0.001813634],"genre_scores_gemma":[0.597267,0.000970104,0.3987948,0.0001186918,0.00008151627,0.0001683356,0.0001540142,0.00004522032,0.002400265],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002202085,"threshold_uncertainty_score":0.005739927,"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."}}