{"id":"W1843871604","doi":"","title":"Modeling and Characterization of Traffic in Public Safety Wireless Networks","year":2006,"lang":"en","type":"article","venue":"Summit (Simon Fraser University)","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Weibull distribution; Computer network; Erlang (programming language); Uncorrelated; Autocorrelation; Log-normal distribution; Computer science; Engineering; Telecommunications; Statistics; Mathematics","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":[0.0008303093,0.0005938148,0.0003182419,0.001013756,0.000323287,0.0007860411,0.0007093513,0.0006687422,0.0002772157],"category_scores_gemma":[0.004410698,0.0002536425,0.0002310806,0.001176569,0.0006212777,0.001357601,0.0002417578,0.0005525919,0.0001410667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001022552,"about_ca_system_score_gemma":0.0006039031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006256431,"about_ca_topic_score_gemma":0.003386864,"domain_scores_codex":[0.9994156,0.0001855403,0.00002611745,0.00007721765,0.0001941431,0.0001013314],"domain_scores_gemma":[0.9983317,0.0009744406,0.0002883002,0.0001162866,0.0002507999,0.00003859386],"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":[0.00004453255,0.0000586836,0.01002215,0.0000270234,0.00001579683,0.0001080086,0.00008150373,0.9621006,0.007349491,0.00827035,0.0003013661,0.01162042],"study_design_scores_gemma":[0.000001148173,0.00001002536,0.002134698,0.000002667086,0.000002819015,0.00003444947,0.00002654582,0.9942035,0.0005723897,0.002816,0.0001914098,0.000004377153],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6356584,0.0005640734,0.3603195,0.0003126771,0.0000326462,0.00004743141,0.0004206262,0.0003339909,0.002310512],"genre_scores_gemma":[0.9912612,0.000298125,0.00762041,0.00001981588,0.00004058827,0.00003314569,0.0002772461,0.00002363912,0.0004258218],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006256431,"threshold_uncertainty_score":0.01244003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01700713796398249,"score_gpt":0.2102118052051963,"score_spread":0.1932046672412138,"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."}}