{"id":"W2073112403","doi":"10.1108/17427370780000141","title":"Clustering concept and QoS constraints in dense mobile ad hoc networks","year":2006,"lang":"en","type":"article","venue":"International Journal of Pervasive Computing and Communications","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Computer network; Mobile ad hoc network; Quality of service; Cluster analysis; Multicast; Wireless ad hoc network; Distributed computing; Overhead (engineering); Routing protocol; Optimized Link State Routing Protocol; Routing (electronic design automation); Wireless; Artificial intelligence; Network packet","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":[0.000412285,0.0001148182,0.000189994,0.0001585744,0.0001317706,0.0002245171,0.001353363,0.00005595719,0.000003834117],"category_scores_gemma":[0.0000299204,0.0001160745,0.00005334802,0.0001478013,0.0002717324,0.0002823658,0.0009153925,0.0003730744,7.897222e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006743633,"about_ca_system_score_gemma":0.00005881784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001916324,"about_ca_topic_score_gemma":0.00008520589,"domain_scores_codex":[0.9987807,0.0001601295,0.0005298839,0.0001592706,0.000208456,0.0001615049],"domain_scores_gemma":[0.9982066,0.0006141051,0.0003647365,0.0003693253,0.0003776389,0.00006765068],"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":[0.0000204564,0.0002358778,0.0106753,0.000007100548,0.0001084399,0.000124449,0.002876114,0.09127183,0.0001564076,0.01434421,0.0005559961,0.8796238],"study_design_scores_gemma":[0.001546604,0.0001448258,0.02950389,0.0005190291,0.00001503949,0.001579316,0.0005681891,0.9581267,0.00002395145,0.001958508,0.00575504,0.0002588576],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1711741,0.02944148,0.7951509,0.002525089,0.0008387782,0.0001896421,0.000003941767,0.00003812766,0.0006378719],"genre_scores_gemma":[0.9576277,0.002372889,0.03955716,0.0002207115,0.0001951719,0.000003892073,0.000003986141,0.000006732466,0.00001182897],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.879365,"threshold_uncertainty_score":0.4733382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01385655872763941,"score_gpt":0.2812451747245528,"score_spread":0.2673886159969134,"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."}}