{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003880092,0.0001228749,0.0001571257,0.0001032034,0.00009971916,0.0001772731,0.0005934322,0.00006149753,0.00001730097],"category_scores_gemma":[0.00006459363,0.0001036307,0.00003714286,0.0004832192,0.00003267879,0.0002141115,0.00008064388,0.000167541,0.000007168913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003663925,"about_ca_system_score_gemma":0.00005663737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006555065,"about_ca_topic_score_gemma":0.00003383978,"domain_scores_codex":[0.9990296,0.00006535088,0.0001735955,0.0002716981,0.0001460409,0.0003137061],"domain_scores_gemma":[0.9988509,0.0003722411,0.0000252774,0.0005528937,0.00007538449,0.0001232763],"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":[0.00001836337,0.000261278,0.0004256717,0.00008095402,0.00006637072,0.000005668613,0.001225327,0.624299,0.001086408,0.01757234,0.004204865,0.3507537],"study_design_scores_gemma":[0.0004848322,0.00007257375,0.0002233609,0.00001348993,0.000001809948,0.00001482247,0.00003265155,0.976679,0.0004988652,0.00001540358,0.02181667,0.0001465306],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4693796,0.0008809523,0.5285107,0.0002079533,0.0000958173,0.0004871665,0.000001687646,0.0002785035,0.0001576044],"genre_scores_gemma":[0.9186515,0.0001684003,0.08057277,0.00002217381,0.00001650965,0.0001772259,0.000005060816,0.00001433427,0.0003720578],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4492718,"threshold_uncertainty_score":0.4225937,"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."}}