{"id":"W2150787908","doi":"10.1002/wcm.125","title":"Power‐aware broadcasting and activity scheduling in ad hoc wireless networks using connected dominating sets","year":2003,"lang":"en","type":"article","venue":"Wireless Communications and Mobile Computing","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":88,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Computer network; Connected dominating set; Dominating set; Wireless ad hoc network; Broadcasting (networking); Mobile ad hoc network; Network packet; Distributed computing; Scheduling (production processes); Flooding (psychology); Wireless; Telecommunications; Algorithm; Theoretical computer science; Minimum spanning tree; Graph","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001320697,0.0003538369,0.0005131441,0.0002022236,0.001131945,0.0004306537,0.001063038,0.0001967839,0.000002538516],"category_scores_gemma":[0.0000819257,0.0004056277,0.0000590605,0.0009911368,0.0002393396,0.0005694398,0.0018392,0.0008624505,6.68778e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001278156,"about_ca_system_score_gemma":0.0001049652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006598944,"about_ca_topic_score_gemma":0.00007493707,"domain_scores_codex":[0.9970318,0.0007522256,0.000611296,0.0007291084,0.0001990273,0.0006765485],"domain_scores_gemma":[0.9961518,0.001508454,0.0004294341,0.001557952,0.000170156,0.0001822071],"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":[0.00001046109,0.0002371595,0.01003757,0.00007864791,0.00004414734,0.00001867571,0.003831,0.1171857,0.002148345,0.009019163,0.000002735125,0.8573864],"study_design_scores_gemma":[0.0007344495,0.00005805981,0.001646953,0.0005412369,0.000009342371,0.0001037271,0.0006933566,0.9954392,0.0001182704,0.00009836993,0.0001332708,0.0004237175],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6166124,0.003758908,0.3788537,0.00003690111,0.0001041006,0.0003766496,0.00000103714,0.0001280234,0.000128219],"genre_scores_gemma":[0.9199092,0.0007831552,0.07914259,0.00005884905,0.00001906925,0.00004366555,0.000004422933,0.00003606287,0.000002954503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8782536,"threshold_uncertainty_score":0.9998395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02313554159489637,"score_gpt":0.2830451877624542,"score_spread":0.2599096461675579,"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."}}