{"id":"W2146413297","doi":"10.1109/icccn.2008.ecp.98","title":"Maximum Network Lifetime in Interference-Aware WiMax/802.16 Mesh Centralized Scheduling","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Wireless mesh network; WiMAX; Computer network; Computer science; Mesh networking; Software deployment; Scheduling (production processes); Wireless broadband; Wireless network; Wireless; Engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008000901,0.0002545219,0.0003112566,0.00009645341,0.00007425481,0.00002174848,0.0001934136,0.0001419486,0.0004801862],"category_scores_gemma":[0.00001790137,0.0002670547,0.00005812682,0.0005469051,0.00004300114,0.0002928354,0.00005441575,0.0002902983,0.0000810722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000194449,"about_ca_system_score_gemma":0.00002230206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001735256,"about_ca_topic_score_gemma":0.00006870142,"domain_scores_codex":[0.9985443,0.00003365843,0.0004061412,0.0002622764,0.0001457397,0.0006079198],"domain_scores_gemma":[0.999487,0.00006036415,0.00004122277,0.0002550192,0.00004027097,0.0001160691],"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":[0.00002149208,0.00001509991,0.004359086,0.00001712596,0.00001698481,0.00001877125,0.0001253559,0.9910218,0.00004602169,0.0002735715,0.001675223,0.002409538],"study_design_scores_gemma":[0.0008358712,0.00001997308,0.0008491456,0.0001510727,0.000006461286,0.00001796846,0.00005473349,0.9953519,0.0004491779,0.0006689535,0.001188478,0.0004063008],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05530201,0.0006463929,0.9345541,0.00006314719,0.0005828947,0.0002863102,0.000002471732,0.0009175939,0.007645068],"genre_scores_gemma":[0.945612,0.001337734,0.05224157,0.00008903223,0.0002503903,0.00002739148,0.0000447997,0.00007295923,0.0003241259],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.89031,"threshold_uncertainty_score":0.9999782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01201821598645104,"score_gpt":0.2106935955064506,"score_spread":0.1986753795199996,"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."}}