{"id":"W2142000303","doi":"10.1109/twc.2010.07.091551","title":"Joint Routing and Scheduling in WiMAX-Based Mesh Networks","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; WiMAX; Scheduling (production processes); Computer network; Wireless mesh network; Telecommunications link; Schedule; Distributed computing; Mathematical optimization; Wireless network; Wireless; Mathematics; Telecommunications","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":[0.001235354,0.0004975055,0.0005294409,0.0004775618,0.000388354,0.0008648328,0.0007123533,0.0005956321,0.001101681],"category_scores_gemma":[0.002168621,0.0003950745,0.0004374981,0.0009949214,0.0005265468,0.001197949,0.0005490797,0.0004588814,0.0001613243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001008229,"about_ca_system_score_gemma":0.0009381039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003161365,"about_ca_topic_score_gemma":0.004143848,"domain_scores_codex":[0.9992614,0.0004021744,0.00002965258,0.00008569351,0.0001274337,0.00009351432],"domain_scores_gemma":[0.9992217,0.0005266865,0.0001027651,0.00007190989,0.00004883685,0.00002810408],"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":[0.00004749258,0.00002922779,0.0002572849,0.00003294766,0.00001126913,0.00003677509,0.00002486245,0.9601052,0.002136225,0.01220357,0.0004915623,0.02462365],"study_design_scores_gemma":[0.000005880557,0.0000210838,0.00008921754,0.000002775411,0.000003836015,0.00001134286,0.0000131846,0.9892423,0.0006303547,0.009446817,0.0005301489,0.000003136925],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04088278,0.0003652943,0.9554178,0.0001980234,0.00002418149,0.00006116882,0.0001365475,0.0003197046,0.002594579],"genre_scores_gemma":[0.7184677,0.0006585887,0.2779975,0.00007249482,0.00004614332,0.0001695229,0.0003040472,0.00008079765,0.002203248],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003161365,"threshold_uncertainty_score":0.007315218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01632068281877121,"score_gpt":0.2383512250507209,"score_spread":0.2220305422319497,"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."}}