{"id":"W2113542884","doi":"10.1109/pimrc.1995.476889","title":"Capacity estimates for mixed-rate traffic on the integrated wireless access network","year":2002,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bandwidth (computing); Computer science; Multiplexing; Computer network; Telecommunications link; Statistical time division multiplexing; Spectral efficiency; Network packet; Process gain; Path loss; Wireless; Real-time computing; Electronic engineering; Spread spectrum; Channel (broadcasting); Telecommunications; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001089234,0.000208088,0.0002117514,0.00007214493,0.0004775028,0.0008607005,0.004832069,0.00009181449,0.0001246083],"category_scores_gemma":[0.0001540528,0.0001291235,0.00009536627,0.001095801,0.000164707,0.0004762238,0.0005548359,0.0004170211,0.0001146022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006526171,"about_ca_system_score_gemma":0.00003005904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002245036,"about_ca_topic_score_gemma":0.0001214162,"domain_scores_codex":[0.998013,0.0003887426,0.0002864882,0.0004097474,0.0003030459,0.0005989316],"domain_scores_gemma":[0.9948604,0.003109146,0.00009886759,0.001604472,0.000209715,0.0001174446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001809068,0.0002279545,0.0001337267,0.00001681148,0.00006578816,0.000002040767,0.0002693286,0.1393042,0.00007321382,0.2750872,0.4052955,0.1795061],"study_design_scores_gemma":[0.0001850015,0.00006206548,0.0004838883,0.00003808782,0.000003011508,0.00000166683,0.00001406092,0.9872184,0.0006784115,0.001577499,0.009566916,0.0001710144],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1417374,0.0003581063,0.7957724,0.0448072,0.0006035623,0.001876586,0.000009352259,0.001150944,0.01368443],"genre_scores_gemma":[0.9861267,0.00007051299,0.01137753,0.001119794,0.0001014513,0.0002857779,0.000007077438,0.00002078018,0.0008903563],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8479142,"threshold_uncertainty_score":0.8979267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1052307866186963,"score_gpt":0.3074362174716963,"score_spread":0.202205430853,"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."}}