{"id":"W2078106654","doi":"10.1109/pacrim.2003.1235734","title":"Capacity of a DS/CDMA system with heterogeneous traffic sources","year":2003,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Burstiness; Markov process; Computer science; Blocking (statistics); Markov chain; Markov model; Traffic model; Code division multiple access; Computer network; Mathematics; Statistics","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":[0.0009307789,0.0004236624,0.0004847871,0.0007234524,0.0005518071,0.001234593,0.0005922325,0.0005375409,0.001136825],"category_scores_gemma":[0.002920363,0.0002653869,0.0002298794,0.0005669922,0.0008892945,0.001012592,0.0008650866,0.0004236038,0.0001751841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001999227,"about_ca_system_score_gemma":0.001103117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008695032,"about_ca_topic_score_gemma":0.002744829,"domain_scores_codex":[0.9993511,0.0001748364,0.00003139692,0.00009876911,0.0001694964,0.000174326],"domain_scores_gemma":[0.9982564,0.001131052,0.0001709677,0.00009603432,0.0002508905,0.00009471258],"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":[0.0001944341,0.00003029613,0.001859421,0.00004941791,0.0000399506,0.0002239965,0.0001031174,0.954011,0.00891517,0.02622528,0.0004744045,0.007873537],"study_design_scores_gemma":[0.000005653917,0.00001398802,0.0003548004,0.000004784111,0.000009396645,0.00002908954,0.00001815761,0.9939733,0.001303381,0.004060317,0.0002179013,0.000009345277],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6949284,0.001087264,0.2916197,0.0005404089,0.00007824056,0.00004527564,0.0003435389,0.0004582185,0.01089894],"genre_scores_gemma":[0.9965939,0.0001313463,0.002549031,0.00001832862,0.0000223765,0.00001491107,0.00004386177,0.0000150707,0.0006112986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008695032,"threshold_uncertainty_score":0.01728886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02867763221562657,"score_gpt":0.2366923025305416,"score_spread":0.2080146703149151,"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."}}