{"id":"W1967272974","doi":"10.1109/mobhoc.2006.278648","title":"Analysis of Bottleneck Delay and Throughput in Wireless Mesh Networks","year":2006,"lang":"en","type":"article","venue":"","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Wireless mesh network; Computer network; Order One Network Protocol; Switched mesh; Computer science; Shared mesh; Mesh networking; IEEE 802.11s; Wireless network; Bottleneck; Throughput; H.248; Distributed computing; Wireless; Default gateway; Telecommunications; Embedded system","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":[0.0002702697,0.0001143352,0.0003254376,0.00019071,0.00002684474,0.00005216411,0.0004190337,0.00008469092,0.00002624888],"category_scores_gemma":[0.00000270519,0.0001014748,0.00007364863,0.001894385,0.00005272839,0.0002432226,0.0002176014,0.0000985591,0.000001392619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002173328,"about_ca_system_score_gemma":0.00001611728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001147086,"about_ca_topic_score_gemma":0.00330657,"domain_scores_codex":[0.9988216,0.00005602819,0.000333768,0.0003609341,0.0001698061,0.0002578523],"domain_scores_gemma":[0.9991992,0.0001333506,0.00009129729,0.0004961891,0.00003928326,0.00004074632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006833277,0.0001362965,0.2849316,0.000008370249,0.0002074367,0.00003143365,0.0001306299,0.2009328,0.00006389395,0.4748787,0.001642733,0.03702922],"study_design_scores_gemma":[0.0001579373,0.00001778166,0.09350167,0.000006762963,0.00004247349,0.000001854175,0.000004503825,0.9054126,0.00006831637,0.0006073261,0.00007237699,0.0001063622],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2553437,0.0001881297,0.7396375,0.00007741362,0.00005964584,0.00008166314,4.805953e-7,0.00004667955,0.00456481],"genre_scores_gemma":[0.9915775,0.00006851226,0.008004695,0.0001166954,0.00003560087,0.000008516569,0.000003770252,0.000005353161,0.0001793554],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7362338,"threshold_uncertainty_score":0.4138021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007089321756609326,"score_gpt":0.2218257577505912,"score_spread":0.2147364359939818,"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."}}