{"id":"W2051733258","doi":"10.1109/icc.2013.6655573","title":"Uplink resource allocation for interworking of WLAN and OFDMA-based femtocell systems","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Femtocell; Subcarrier; Computer network; Resource allocation; Telecommunications link; Frequency-division multiple access; Orthogonal frequency-division multiple access; Orthogonal frequency-division multiplexing; Transmitter power output; Optimization problem; Physical layer; Distributed computing; Wireless; Base station; Algorithm; Telecommunications; Channel (broadcasting); Transmitter","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":[0.00005275567,0.00007716388,0.0001097949,0.00004898593,0.00001951256,0.00002013385,0.00004773626,0.00005133429,0.00001045668],"category_scores_gemma":[0.00000759192,0.00007488458,0.00001581747,0.00007584588,0.00001274617,0.00007777177,0.000008247395,0.00003594065,0.00000182592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002146755,"about_ca_system_score_gemma":0.000003024805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001562362,"about_ca_topic_score_gemma":0.000002917442,"domain_scores_codex":[0.9995703,0.000006675812,0.0001810652,0.00009065978,0.00004429702,0.0001069976],"domain_scores_gemma":[0.9997056,0.00007684931,0.0000347313,0.0001017327,0.00005221957,0.00002893004],"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":[0.000003573567,0.000004079974,0.0003015564,0.0001768565,0.000008199091,2.294832e-8,0.00004129861,0.990814,0.003040043,0.0002825682,0.0004197815,0.004907962],"study_design_scores_gemma":[0.00021747,0.00001588039,0.00009147237,0.0001004167,0.000006400225,2.922295e-7,0.00006270684,0.9960377,0.002892717,0.00002776605,0.000466199,0.0000810237],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03353175,0.0003605241,0.9648148,0.00004201285,0.00008716492,0.0004819139,0.000001082661,0.0001547961,0.0005258996],"genre_scores_gemma":[0.9802444,0.00002316387,0.01933907,0.00001655074,0.00005536172,0.0001374054,0.00002048856,0.00002834499,0.0001352342],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9467126,"threshold_uncertainty_score":0.3053705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00746212787741573,"score_gpt":0.1851929201797732,"score_spread":0.1777307923023574,"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."}}