{"id":"W2076994310","doi":"10.1142/s0129054103001741","title":"A ZONAL ALGORITHM FOR CLUSTERING AN HOC NETWORKS","year":2003,"lang":"en","type":"article","venue":"International Journal of Foundations of Computer Science","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Connected dominating set; Dominating set; Mobile ad hoc network; Wireless ad hoc network; Computer science; Cluster analysis; Vertex (graph theory); Graph; Algorithm; Mathematics; Theoretical computer science; Computer network; Wireless; Artificial intelligence","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":[0.001769545,0.0001314377,0.0002061971,0.0004756667,0.0001776786,0.0005560663,0.003434008,0.00004159473,0.00001342238],"category_scores_gemma":[0.00009323764,0.0001249956,0.0001418305,0.0006040594,0.000268382,0.002942432,0.0002579538,0.0001585708,0.000001766154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001403962,"about_ca_system_score_gemma":0.0005982197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002286679,"about_ca_topic_score_gemma":0.000004454487,"domain_scores_codex":[0.9976816,0.00006578741,0.0006970011,0.0002988268,0.000981158,0.0002756015],"domain_scores_gemma":[0.9960702,0.000245013,0.0006637498,0.0003844304,0.002462452,0.0001741419],"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":[0.00001015721,0.0001762011,0.00009366759,0.000002164945,0.00005291402,0.00001010313,0.0002359223,0.1288423,0.0001671888,0.07897159,0.0001886299,0.7912492],"study_design_scores_gemma":[0.0005953546,0.0003654289,0.0005332479,0.00004791593,0.000006490207,0.0003732654,0.000008714524,0.9874247,0.0003767273,0.005647162,0.004493204,0.0001278112],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002811637,0.0001007634,0.9914932,0.0002651509,0.005015738,0.0001295541,0.000002444948,0.00002015208,0.0001613301],"genre_scores_gemma":[0.2652071,0.00002415994,0.7341015,0.0001739574,0.0004687081,0.000004893141,0.000001476176,0.00000602492,0.00001215138],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8585824,"threshold_uncertainty_score":0.6381299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01905439722890007,"score_gpt":0.3031961872650348,"score_spread":0.2841417900361347,"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."}}