{"id":"W2072584202","doi":"10.1109/ccece.2008.4564885","title":"Priority scheduling in mobile ad hoc networks with improved bandwidth utilization","year":2008,"lang":"en","type":"article","venue":"Conference proceedings - Canadian Conference on Electrical and Computer Engineering","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer network; Computer science; Wireless ad hoc network; Mobile ad hoc network; Vehicular ad hoc network; Network packet; Scheduling (production processes); Ad hoc wireless distribution service; Bandwidth allocation; Time division multiple access; Wireless network; Optimized Link State Routing Protocol; Wireless; Bandwidth (computing); Telecommunications; Routing protocol; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001847887,0.0004306447,0.0004424612,0.0004486749,0.0002082372,0.0004840224,0.0007237455,0.0002309213,0.00001084315],"category_scores_gemma":[0.00002214965,0.0004133134,0.00004126958,0.001187864,0.00007111156,0.0006182398,0.0001151188,0.0007890045,0.000003940473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002413983,"about_ca_system_score_gemma":0.0006400679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003902084,"about_ca_topic_score_gemma":0.001261954,"domain_scores_codex":[0.9974172,0.00001587918,0.0003646907,0.0009026518,0.0002656057,0.001034046],"domain_scores_gemma":[0.9985837,0.00006394025,0.00009899214,0.0002461044,0.0003076319,0.0006996171],"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":[0.0001077541,0.0002036147,0.0156182,0.000132016,0.00008700942,0.0002787932,0.002767306,0.05188963,0.0004455046,0.1485093,0.0001822332,0.7797786],"study_design_scores_gemma":[0.0005387387,0.0006080719,0.008193281,0.0001669861,0.000005276518,0.0001043834,0.00001037383,0.9885944,0.00007226395,0.0001392897,0.001043884,0.0005230893],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2074264,0.001194239,0.789616,0.0002263825,0.000178393,0.0006760633,0.000001468225,0.0002905961,0.0003904693],"genre_scores_gemma":[0.981807,0.001158786,0.01648902,0.0002343342,0.0001140267,0.0001347556,0.000004859034,0.00002784345,0.00002937868],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9367048,"threshold_uncertainty_score":0.9998319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01541742406317881,"score_gpt":0.1976288378142733,"score_spread":0.1822114137510945,"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."}}