{"id":"W1947797107","doi":"10.1109/icwc.1992.200739","title":"Traffic engineering for integrated telephone and dispatch land mobile radio traffic","year":2003,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Computer network; Erlang (programming language); Cellular traffic; Queueing theory; Quality of service; Blocking (statistics); Call blocking; Mobile telephony; Cellular network; Telephone network; Mobile radio","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":[0.0006202668,0.0009952115,0.0005392498,0.001156778,0.0005027451,0.001418948,0.0008494091,0.0009643367,0.005494027],"category_scores_gemma":[0.002829057,0.0002807686,0.0008303156,0.001152484,0.0005136764,0.001748584,0.0008210111,0.001195762,0.001351187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001448322,"about_ca_system_score_gemma":0.001063045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002060457,"about_ca_topic_score_gemma":0.001516326,"domain_scores_codex":[0.9993517,0.0002035792,0.00003052457,0.00009280054,0.0002518338,0.00006958551],"domain_scores_gemma":[0.9992874,0.0003113722,0.00007158815,0.00005680056,0.0002379663,0.00003486443],"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":[0.00006487575,0.0001158501,0.0006885778,0.0002114678,0.00004452072,0.0002024743,0.0001305022,0.3132479,0.007540072,0.5492629,0.0105914,0.1178994],"study_design_scores_gemma":[0.000006881533,0.00004207129,0.0001723798,0.00002390969,0.00001452069,0.0001362789,0.00002873944,0.8440689,0.0009622099,0.1389388,0.01559525,0.00001024189],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006929707,0.001055042,0.9784218,0.0004565612,0.0003153168,0.00005713203,0.00006163429,0.0001174919,0.01258538],"genre_scores_gemma":[0.5227592,0.005858654,0.4062143,0.000661428,0.001367084,0.0004898098,0.0005137081,0.0003899336,0.06174588],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005494027,"threshold_uncertainty_score":0.01837933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01288843720880061,"score_gpt":0.2457709427210281,"score_spread":0.2328825055122275,"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."}}