{"id":"W1983300637","doi":"10.5539/cis.v3n3p3","title":"Supporting Differentiated Service in Cognitive Radio Wireless Mesh Networks","year":2010,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Computer network; Cognitive radio; Wireless mesh network; Wireless ad hoc network; Wireless network; Network packet; Throughput; Wireless; Telecommunications","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001266596,0.0002986071,0.0003138892,0.0004832676,0.0004222115,0.0008021218,0.001177263,0.0005254804,0.0003949025],"category_scores_gemma":[0.002797836,0.0001819725,0.0002339658,0.000426701,0.000642857,0.0007205461,0.0008787346,0.0006152883,0.0001312568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000735199,"about_ca_system_score_gemma":0.0008343811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00251316,"about_ca_topic_score_gemma":0.002134921,"domain_scores_codex":[0.9995826,0.0001313297,0.00002520672,0.00004114329,0.0001427316,0.00007690905],"domain_scores_gemma":[0.9991189,0.0004002276,0.00008378711,0.0001143077,0.0002196821,0.00006319591],"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":[0.0005713635,0.0001604033,0.002652518,0.0006514308,0.0001182625,0.000936355,0.0006585021,0.3224311,0.05022656,0.2251351,0.005599863,0.3908586],"study_design_scores_gemma":[0.00006498423,0.0001720672,0.0003825635,0.00003489363,0.00004246726,0.0002118487,0.00009430422,0.9348242,0.006182829,0.04833814,0.009616101,0.00003573232],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08053152,0.005619063,0.9048507,0.0008050437,0.0003926898,0.0001057313,0.00006083563,0.0005625382,0.007071887],"genre_scores_gemma":[0.9367989,0.001223247,0.0604417,0.0001531288,0.0001048947,0.00009300663,0.00005124248,0.00001405913,0.001119774],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00251316,"threshold_uncertainty_score":0.006698489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02212291027254848,"score_gpt":0.2862973900298375,"score_spread":0.264174479757289,"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."}}