{"id":"W1492109941","doi":"10.1109/icc.2015.7249173","title":"Bandwidth allocation and pricing for SDN-enabled home networks","year":2015,"lang":"en","type":"article","venue":"","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Stackelberg competition; Computer science; Software-defined networking; Computer network; Quality of service; Service provider; The Internet; Bandwidth (computing); Stochastic game; Bandwidth allocation; Dynamic pricing; Quality of experience; Service (business); Business","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":[0.0003846258,0.00009145802,0.000118668,0.00004185292,0.00008241981,0.0001687809,0.0002316868,0.00005758635,0.000002437099],"category_scores_gemma":[0.0000414557,0.00007357889,0.00002315407,0.0002217734,0.00001446304,0.0003266159,0.0001116524,0.00005280409,0.000004291509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002250293,"about_ca_system_score_gemma":0.00003811884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002763817,"about_ca_topic_score_gemma":0.00001248372,"domain_scores_codex":[0.9992408,0.00001804637,0.0001340222,0.0002587385,0.0001091584,0.000239209],"domain_scores_gemma":[0.9993247,0.000152965,0.00004362793,0.0002459849,0.0001037042,0.0001290321],"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":[0.00008599873,0.0001305485,0.01704682,0.00005350027,0.00007353767,0.000007808261,0.001681203,0.06786846,0.00005533122,0.3372844,0.1342514,0.4414611],"study_design_scores_gemma":[0.0007544762,0.0001241354,0.002000958,0.00001351256,0.000006093053,0.000008071464,0.00002003603,0.9786304,0.00004057399,0.01026042,0.007977269,0.0001640448],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005097676,0.0005025992,0.9918967,0.0007893896,0.0003813706,0.0002052077,1.75661e-7,0.0002179888,0.0009089009],"genre_scores_gemma":[0.8874885,0.00003785816,0.1104661,0.0009089512,0.0002454742,0.00003487039,0.000004744528,0.00001070212,0.0008028342],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.910762,"threshold_uncertainty_score":0.300046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02391793346159615,"score_gpt":0.2345294384881117,"score_spread":0.2106115050265156,"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."}}