{"id":"W2167990496","doi":"10.1109/twc.2007.060449","title":"An Interference Aware Distributed Resource Management Scheme for CDMA-Based Wireless Mesh Backbone","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of Alberta","funders":"","keywords":"Computer science; Computer network; Interference (communication); Wireless mesh network; Overhead (engineering); Radio resource management; Wireless; Wireless network; Code division multiple access; Power control; Resource allocation; Distributed computing; Telecommunications; Power (physics); Channel (broadcasting)","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":[0.000792335,0.0003602391,0.0003366905,0.0003124627,0.001057824,0.0002352094,0.004730518,0.0001913729,0.00002123452],"category_scores_gemma":[0.000002938357,0.0004015342,0.0002088566,0.001177659,0.0002645395,0.0005060204,0.00004025474,0.0006185708,0.00003444162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002691265,"about_ca_system_score_gemma":0.0000886605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003866245,"about_ca_topic_score_gemma":0.0005333984,"domain_scores_codex":[0.9973622,0.000230486,0.0006757453,0.0007057798,0.0003730514,0.0006527577],"domain_scores_gemma":[0.9928216,0.0008027469,0.0002189393,0.005584312,0.0002684963,0.0003039461],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004773444,0.006946186,0.00009386778,0.0002504953,0.0005023223,0.00002498277,0.001347019,0.06403641,0.004203138,0.1520057,0.002479895,0.7676326],"study_design_scores_gemma":[0.001347733,0.0002868952,0.0002229315,0.0002256559,0.00006081277,0.000007044571,0.000331548,0.9784694,0.01175452,0.000299822,0.006383949,0.0006096768],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003545571,0.00003620615,0.992399,0.00140927,0.0002583723,0.001091909,0.000147508,0.0006797452,0.0004323523],"genre_scores_gemma":[0.9167493,0.00007481368,0.0817252,0.0004128093,0.0000292307,0.0006730349,0.0001554328,0.00004682568,0.0001333295],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.914433,"threshold_uncertainty_score":0.9998437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02859687822757778,"score_gpt":0.287409259706963,"score_spread":0.2588123814793852,"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."}}