{"id":"W2046444057","doi":"10.1002/wcm.445","title":"Distributed medium access control for wireless mesh networks","year":2006,"lang":"en","type":"article","venue":"Wireless Communications and Mobile Computing","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Wireless mesh network; Computer science; Computer network; Wireless ad hoc network; Wireless broadband; Quality of service; Wireless network; Service set; IEEE 802.11s; Wireless; Mesh networking; Distributed computing; Telecommunications; Wi-Fi array","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007076312,0.0003046268,0.0004657072,0.00009363985,0.0010495,0.0006802398,0.003696014,0.0001678,0.000002469805],"category_scores_gemma":[0.00001454793,0.000310525,0.0001267252,0.0005787684,0.0002559374,0.000486407,0.001950525,0.0003650675,0.000001912322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000716436,"about_ca_system_score_gemma":0.00008067676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001406123,"about_ca_topic_score_gemma":0.0001212496,"domain_scores_codex":[0.9976782,0.0002259272,0.0006748189,0.0005851048,0.0002048512,0.0006310585],"domain_scores_gemma":[0.9953361,0.001466453,0.0003750976,0.002361809,0.0003114953,0.0001490504],"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":[0.00002232253,0.0004625865,0.005110325,0.00007113712,0.0001028794,0.000004365041,0.0002484552,0.03603882,0.0002776126,0.6198135,0.004454644,0.3333933],"study_design_scores_gemma":[0.001084277,0.00006603876,0.00190565,0.00008206299,0.00002587507,0.000014665,0.00003771933,0.9836797,0.00006100992,0.001049044,0.01164396,0.0003500598],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01698368,0.001432053,0.9784471,0.0008154367,0.000311353,0.001230262,0.00003149183,0.0004146507,0.0003339417],"genre_scores_gemma":[0.9859846,0.0003462773,0.01233913,0.0002512541,0.0002727817,0.0005457571,0.0001986184,0.00003391671,0.00002767117],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9690009,"threshold_uncertainty_score":0.9999347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01627498271010327,"score_gpt":0.2738212422670627,"score_spread":0.2575462595569594,"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."}}