{"id":"W2488604116","doi":"","title":"Courteous algorithm: performance optimization in WiMAX networks","year":2010,"lang":"en","type":"article","venue":"International Conference on Communications","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"WiMAX; Computer science; Quality of service; Scheduling (production processes); Network packet; Computer network; Algorithm; Mathematical optimization; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001165374,0.0001477397,0.0001171771,0.0001789122,0.00009410008,0.00006946575,0.0009105547,0.0001115549,0.0002501057],"category_scores_gemma":[0.00002448898,0.000172432,0.00002629429,0.0002446027,0.00009076611,0.0003241638,0.0000957935,0.000647837,0.00003085829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008970805,"about_ca_system_score_gemma":0.00002681471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008379866,"about_ca_topic_score_gemma":0.000137192,"domain_scores_codex":[0.9991758,0.00002667878,0.0002932319,0.0001527796,0.0001700081,0.0001815325],"domain_scores_gemma":[0.9989172,0.00008875406,0.00006165356,0.0007114542,0.0001695871,0.00005140932],"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":[0.000004219615,0.00004453773,0.0003385285,0.000001597552,0.00001025241,6.26281e-7,0.00004880935,0.9519597,0.00009024752,0.01115535,0.00008889056,0.03625722],"study_design_scores_gemma":[0.0002454686,0.00001411304,0.0006726547,0.0000420912,0.000002942733,0.000005400065,0.00002430786,0.997034,0.00005141426,0.0002305325,0.001508305,0.0001687442],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006243165,0.00007152564,0.8831809,0.001055063,0.001457176,0.0003080926,0.00002377419,0.0004462358,0.1072141],"genre_scores_gemma":[0.8961725,0.002443537,0.1007542,0.00007106572,0.0000908919,0.00006712894,0.0002752107,0.00003020243,0.0000953573],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8899293,"threshold_uncertainty_score":0.7031573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02133959105202333,"score_gpt":0.2676907548703346,"score_spread":0.2463511638183113,"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."}}