{"id":"W2147681875","doi":"10.1109/twc.2009.080645","title":"Connection-based scheduling for supporting real-time traffic in wireless mesh networks","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Wireless mesh network; Computer network; Scheduling (production processes); Distributed computing; Wireless; Connection (principal bundle); Mesh networking; Switched mesh; Wireless network; Telecommunications; Mathematical optimization","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":[0.001778746,0.0005781609,0.0004733886,0.0008232653,0.0009279033,0.0006223577,0.001269691,0.0006564807,0.001026076],"category_scores_gemma":[0.00412686,0.0003105015,0.0003005384,0.001198135,0.0006738847,0.0009878498,0.0006517392,0.0006385919,0.00013971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001033557,"about_ca_system_score_gemma":0.00109651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002635742,"about_ca_topic_score_gemma":0.003968412,"domain_scores_codex":[0.9992787,0.0003394073,0.00003718537,0.000058688,0.0002006195,0.00008544869],"domain_scores_gemma":[0.998185,0.001062248,0.0002524631,0.0001488696,0.0002363953,0.000114967],"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":[0.0002256462,0.00008054991,0.00111314,0.0001329699,0.00004052239,0.0000959075,0.0001081363,0.8999047,0.00837877,0.01448003,0.001428216,0.07401144],"study_design_scores_gemma":[0.00001594925,0.00005523035,0.0001784067,0.000003538133,0.000006626672,0.00002636382,0.00001260916,0.99502,0.0007206536,0.003470501,0.000482176,0.000007930254],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1562552,0.002088168,0.8371542,0.0004487901,0.0002362604,0.0001492486,0.00006117173,0.0004753102,0.003131573],"genre_scores_gemma":[0.934668,0.0004633983,0.06415017,0.00004432444,0.0001009744,0.000084957,0.0000507076,0.00004422656,0.0003933331],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002635742,"threshold_uncertainty_score":0.009407043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02143268120356174,"score_gpt":0.2793924582603495,"score_spread":0.2579597770567878,"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."}}