{"id":"W2538129567","doi":"10.7939/r3-szjp-kd85","title":"Admission control of delay bounded traffic in cellular networks","year":2007,"lang":"en","type":"article","venue":"University of Alberta Library","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Computer network; Scheduling (production processes); Cellular network; Preemption; Wireless network; Distributed computing; Wireless; Engineering; Telecommunications","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":[0.00004266436,0.00008631442,0.0001721133,0.0001298174,0.00002148086,0.000002553833,0.0001372291,0.0001089675,0.0001308197],"category_scores_gemma":[0.000004375604,0.0001104281,0.00004512957,0.0002792342,0.00004212772,0.0004010358,0.00002234875,0.0001050075,0.000001560329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002047422,"about_ca_system_score_gemma":0.00001535916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002780822,"about_ca_topic_score_gemma":0.0001006418,"domain_scores_codex":[0.9995177,0.00001673248,0.0001501235,0.00009586802,0.00005698504,0.000162609],"domain_scores_gemma":[0.9995962,0.0001523229,0.00005363011,0.0001227954,0.000009381208,0.00006569062],"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":[0.0001181253,0.00002626135,0.002398532,0.00002382168,0.00001626331,0.00001625045,0.0004465203,0.9943515,0.0002304925,0.0003831881,0.0002563655,0.001732648],"study_design_scores_gemma":[0.001104045,0.00003110595,0.001268521,0.00007924595,0.00001343856,8.800699e-7,0.0001848398,0.9937152,0.001307659,0.000039725,0.002121911,0.0001333876],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6790586,0.000356308,0.316252,0.00002631681,0.00007284773,0.0001162782,9.627679e-7,0.00006296487,0.004053799],"genre_scores_gemma":[0.9949877,0.0001321178,0.004498953,0.000009806666,0.00001946586,3.206654e-8,0.00002984164,0.00001839063,0.0003037446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3159291,"threshold_uncertainty_score":0.4503127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002667589580823208,"score_gpt":0.1486031818965712,"score_spread":0.145935592315748,"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."}}