{"id":"W2124297703","doi":"10.1109/jcn.2002.6596934","title":"On calculating power-aware connected dominating sets for efficient routing in ad hoc wireless networks","year":2002,"lang":"en","type":"article","venue":"Journal of Communications and Networks","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":370,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Wireless ad hoc network; Computer network; Ad hoc wireless distribution service; Mobile ad hoc network; Optimized Link State Routing Protocol; Wireless Routing Protocol; Wireless; Routing (electronic design automation); 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":[0.002067823,0.001027826,0.0009578199,0.001811613,0.0008042568,0.0009166897,0.001358087,0.0008256874,0.001015117],"category_scores_gemma":[0.00925751,0.0004371498,0.0007625641,0.001817939,0.0006880921,0.001512646,0.0009407591,0.000662765,0.0002765315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000965055,"about_ca_system_score_gemma":0.0007994884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001238416,"about_ca_topic_score_gemma":0.001430919,"domain_scores_codex":[0.9982241,0.0008049326,0.0001016063,0.0001278073,0.0006918515,0.00004968208],"domain_scores_gemma":[0.9963243,0.002735656,0.0001704488,0.0001759403,0.0005317949,0.00006195634],"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":[0.00006492996,0.0000460274,0.0008793033,0.0002487318,0.00007816005,0.0001284879,0.0001433824,0.8744886,0.002678006,0.02303376,0.001609367,0.09660123],"study_design_scores_gemma":[0.00001295512,0.00004766504,0.0001556387,0.00002404035,0.00002019372,0.00008188016,0.00001748638,0.9839499,0.001595128,0.01219282,0.001890465,0.00001177343],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008296354,0.0003935005,0.9897288,0.0001021748,0.00006787667,0.0001020097,0.00003098825,0.000134927,0.001143393],"genre_scores_gemma":[0.2230955,0.0009787502,0.7741368,0.00009655498,0.0001192593,0.0004433515,0.0001669275,0.00005730467,0.0009055345],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002067823,"threshold_uncertainty_score":0.01093578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02377303206741777,"score_gpt":0.2757971317582326,"score_spread":0.2520240996908149,"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."}}