{"id":"W2142573375","doi":"10.1007/s11276-005-5265-z","title":"Fault-Tolerant and 3-Dimensional Distributed Topology Control Algorithms in Wireless Multi-hop Networks","year":2005,"lang":"en","type":"article","venue":"Wireless Networks","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":93,"is_retracted":false,"has_abstract":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Computer science; Topology control; Topology (electrical circuits); Algorithm; Hop (telecommunications); Node (physics); Wireless network; Fault tolerance; Computer network; Network topology; Wireless; Distributed algorithm; Power control; Distributed computing; Power (physics); Key distribution in wireless sensor networks; Mathematics; 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":[0.002759173,0.0006269927,0.001258865,0.001043263,0.0009067039,0.001570761,0.002007568,0.001428499,0.001303327],"category_scores_gemma":[0.01119039,0.0005054874,0.0005223777,0.001445617,0.001610163,0.003483281,0.001883324,0.001134469,0.0002338288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009878597,"about_ca_system_score_gemma":0.0005548825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002010142,"about_ca_topic_score_gemma":0.001454472,"domain_scores_codex":[0.9985074,0.0006159095,0.0001344684,0.0001918296,0.0004338977,0.0001164356],"domain_scores_gemma":[0.994965,0.003262509,0.0005842081,0.0004966178,0.0005341225,0.0001575988],"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":[0.000269122,0.00006225361,0.000627492,0.00007383737,0.00003804307,0.00005187642,0.000233371,0.8758921,0.001814909,0.02895995,0.001367476,0.09060951],"study_design_scores_gemma":[0.00002117727,0.00004277849,0.0001443292,0.000005047746,0.000007313974,0.0000312595,0.00002372731,0.9779199,0.000673256,0.0206061,0.0005146583,0.00001044879],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02750837,0.001099311,0.9691007,0.000348396,0.0001288082,0.0000365358,0.00003078149,0.0003891629,0.001358083],"genre_scores_gemma":[0.8011959,0.00091928,0.1943854,0.0002009818,0.0001708377,0.0002317019,0.0001251668,0.00009099766,0.002679739],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002759173,"threshold_uncertainty_score":0.01459205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009062143242365433,"score_gpt":0.233984949971443,"score_spread":0.2249228067290776,"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."}}