{"id":"W1551967728","doi":"10.1023/a:1025956401962","title":"Non-Uniform Traffic Issues in DCA Wireless Multimedia Networks","year":2003,"lang":"en","type":"article","venue":"Wireless Networks","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Handover; Computer network; Quality of service; Call Admission Control; Channel (broadcasting); Hot spot (computer programming); Channel allocation schemes; Call blocking; Cellular network; Wireless network; Population; Wireless; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004608752,0.0006676332,0.001173809,0.001470633,0.002874043,0.003745438,0.002438007,0.002006593,0.003443216],"category_scores_gemma":[0.03361522,0.001167794,0.0004089676,0.002615619,0.002198469,0.007127629,0.002488695,0.002141149,0.000494901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003112989,"about_ca_system_score_gemma":0.001044258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002417284,"about_ca_topic_score_gemma":0.003356745,"domain_scores_codex":[0.9977413,0.0006570848,0.0001490996,0.0002637794,0.0008162768,0.0003724266],"domain_scores_gemma":[0.9733422,0.01825042,0.001664794,0.002035934,0.004137157,0.0005694478],"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":[0.0007159103,0.0002905421,0.009248073,0.0005957806,0.0001011643,0.001857765,0.001122111,0.2082298,0.0172408,0.6019622,0.01128201,0.1473539],"study_design_scores_gemma":[0.00002722217,0.00009858035,0.001914027,0.00006217883,0.00008207677,0.00111623,0.0005708234,0.861304,0.006992071,0.1216972,0.006082338,0.0000533627],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2745476,0.008742644,0.6692906,0.005344565,0.001152156,0.0002255139,0.0002500486,0.0005220546,0.03992484],"genre_scores_gemma":[0.9717557,0.0021872,0.01781754,0.0003861904,0.0007488744,0.0001082161,0.0001080035,0.0001609459,0.006727268],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004608752,"threshold_uncertainty_score":0.02437371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01692419323507835,"score_gpt":0.2747202746073654,"score_spread":0.257796081372287,"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."}}