{"id":"W1587066713","doi":"10.1109/broadnets.2004.35","title":"Dynamic downlink OFDM resource allocation for broadband multimedia services in wireless cellular systems","year":2004,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Subcarrier; Computer science; Telecommunications link; Fading; Orthogonal frequency-division multiplexing; Computer network; Link adaptation; Resource allocation; Network packet; Wireless; Bandwidth (computing); Broadband networks; Channel (broadcasting); Electronic engineering; Real-time computing; Broadband; Telecommunications; Engineering","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":[0.0001192012,0.0001496549,0.0001675319,0.0001010165,0.0000351758,0.00003211882,0.0001246497,0.0001327776,0.000003179881],"category_scores_gemma":[0.000004101558,0.0001609,0.00002713191,0.000215877,0.00001347994,0.0001758131,0.00001174014,0.00009620423,0.000008046264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003023661,"about_ca_system_score_gemma":0.00001413621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007882263,"about_ca_topic_score_gemma":0.0002556753,"domain_scores_codex":[0.9991556,0.00001351882,0.0002667896,0.0001837705,0.00009750942,0.0002828319],"domain_scores_gemma":[0.9996372,0.0000508937,0.00003999455,0.000179581,0.00003653143,0.00005581823],"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":[0.000009967081,0.00001632174,0.00008142469,0.0002571172,0.00000900438,0.000001495181,0.0003646248,0.988077,0.008881722,0.0002971408,0.00001235625,0.001991807],"study_design_scores_gemma":[0.0009328147,0.00001332338,0.0001345305,0.000145816,0.00000709969,0.000001683667,0.0002358063,0.9943418,0.003524455,0.0001025612,0.0003795707,0.0001805471],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2199137,0.0004428681,0.7782975,0.00004016893,0.0001494265,0.0005175631,0.000006035526,0.0003260071,0.0003066934],"genre_scores_gemma":[0.9735801,0.0001015463,0.02577628,0.00002227401,0.00006313675,0.00008915461,0.0002071459,0.00005480452,0.0001055798],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7536663,"threshold_uncertainty_score":0.6561313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003951423752536098,"score_gpt":0.1977843580471619,"score_spread":0.1938329342946258,"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."}}