{"id":"W2341485779","doi":"10.14288/1.0066831","title":"Optimal resource management in wireless access networks","year":2008,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Wireless; Wireless network; Computer network; Resource management (computing); Telecommunications; Business","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":[0.002009866,0.000912189,0.001060897,0.0007024673,0.0007467018,0.001719296,0.001224397,0.0009829089,0.001505511],"category_scores_gemma":[0.00336581,0.0004155393,0.0005765622,0.0008916376,0.001699129,0.002211415,0.001502283,0.001083758,0.0002450529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001395373,"about_ca_system_score_gemma":0.001171125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001361554,"about_ca_topic_score_gemma":0.001189584,"domain_scores_codex":[0.9986222,0.0005833555,0.00007826606,0.0002117034,0.0003622155,0.0001423332],"domain_scores_gemma":[0.9990456,0.0005995624,0.0001231625,0.0001038855,0.00009514574,0.00003272551],"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":[0.00005275228,0.00005983982,0.0001941093,0.000140292,0.00005234686,0.00004973249,0.00008440176,0.716517,0.002205027,0.2116986,0.001692956,0.06725298],"study_design_scores_gemma":[0.00001284349,0.00003043841,0.00004851068,0.00001323138,0.000009183151,0.00001849825,0.00001567836,0.9540108,0.0006126797,0.04309457,0.002123779,0.000009889144],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007265893,0.001790282,0.9865547,0.0003057645,0.0001038474,0.00006397551,0.00002046948,0.0001080807,0.003786838],"genre_scores_gemma":[0.6358037,0.004218088,0.3526056,0.0002505775,0.0003852655,0.0003479673,0.00006667919,0.0000963659,0.006225747],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002009866,"threshold_uncertainty_score":0.01062936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007254964606553492,"score_gpt":0.167989398396814,"score_spread":0.1607344337902605,"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."}}