{"id":"W4412722202","doi":"10.1139/facets-2024-0128","title":"Dynamic bandwidth allocation with machine learning in dense WiFi network","year":2025,"lang":"en","type":"article","venue":"FACETS","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dynamic bandwidth allocation; Computer science; Bandwidth (computing); Bandwidth allocation; Computer network","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":[0.0008849465,0.0005379808,0.000546107,0.0005438733,0.0004413204,0.0006623779,0.0006829626,0.0005302952,0.0006177032],"category_scores_gemma":[0.003020356,0.0002738399,0.0002488735,0.0005724473,0.0004656789,0.0009410062,0.000690501,0.0007904713,0.0001483174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009560757,"about_ca_system_score_gemma":0.0007258263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01433488,"about_ca_topic_score_gemma":0.01039312,"domain_scores_codex":[0.9996737,0.00008138689,0.00001419527,0.00007969575,0.0000759281,0.00007510343],"domain_scores_gemma":[0.9987814,0.0007889651,0.0001345778,0.00009108779,0.0001593181,0.00004475512],"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":[0.00006487693,0.00006736586,0.001484675,0.00001341994,0.0000128748,0.00003071398,0.00003066493,0.9400784,0.0008262793,0.001482213,0.0003505328,0.05555802],"study_design_scores_gemma":[0.000001134305,0.000005625349,0.00009100091,6.119373e-7,7.920968e-7,0.00000218202,0.000003433425,0.9991086,0.0001374184,0.0006175982,0.00003045418,0.000001083001],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.21377,0.0002391875,0.7809559,0.0003764325,0.00005816148,0.00006780437,0.00008820236,0.001524478,0.002919917],"genre_scores_gemma":[0.950554,0.00007263169,0.04808743,0.0000552577,0.00002288144,0.00004839855,0.00007640332,0.00002169731,0.001061437],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01433488,"threshold_uncertainty_score":0.02850288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005956107523583998,"score_gpt":0.2411235692249107,"score_spread":0.2351674617013267,"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."}}