{"id":"W2012750660","doi":"10.1109/iscc.2007.4381553","title":"Directional Cell Breathing Based Reactive Congestion Control in WCDMA Cellular Networks","year":2007,"lang":"en","type":"article","venue":"Proceedings - IEEE Symposium on Computers and Communications/IEEE Symposium on Computers and Communications","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Queen's University","funders":"","keywords":"Handover; Cellular network; Computer science; Computer network; Code division multiple access; Power control; Network congestion; Transmission (telecommunications); Throughput; Channel (broadcasting); Wireless; Telecommunications; Power (physics); Network packet","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":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.003052482,0.0008701757,0.0008830737,0.001276894,0.002227569,0.001259298,0.00729588,0.0004735875,0.000002223185],"category_scores_gemma":[0.00003501181,0.0009480976,0.0002393587,0.001795179,0.0009760815,0.001125449,0.001985017,0.002355758,0.00001658391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000547486,"about_ca_system_score_gemma":0.0001986281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002269225,"about_ca_topic_score_gemma":0.00007585641,"domain_scores_codex":[0.9943629,0.0007401721,0.001460392,0.001415584,0.0008834574,0.001137522],"domain_scores_gemma":[0.9881602,0.004641647,0.0008136832,0.004950204,0.0008141931,0.0006200841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002220087,0.0177665,0.02436753,0.000698073,0.001234537,0.00009407014,0.01949223,0.2715981,0.07566974,0.3943556,0.01401149,0.178492],"study_design_scores_gemma":[0.002848078,0.0006212689,0.002107561,0.0007100538,0.00005020233,0.00005470344,0.0001775985,0.9861028,0.001457378,0.0004310625,0.004444829,0.0009944221],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02837812,0.00247768,0.912139,0.03818995,0.001316787,0.002783624,0.00003081874,0.0009683695,0.01371566],"genre_scores_gemma":[0.9400225,0.004394728,0.05188063,0.002953224,0.0001855266,0.0003368062,0.00007252557,0.00008954971,0.0000645247],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9116444,"threshold_uncertainty_score":0.9999458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01915935247440005,"score_gpt":0.2595133452909839,"score_spread":0.2403539928165838,"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."}}