{"id":"W1974737638","doi":"10.1002/ett.965","title":"Efficient packet data service in a spread spectrum OFDM cellular system with 2‐dimensional radio resource allocation","year":2004,"lang":"en","type":"article","venue":"European Transactions on Telecommunications","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Computer network; Orthogonal frequency-division multiplexing; Link adaptation; Fading; Hybrid automatic repeat request; Network packet; Spectral efficiency; Throughput; Transmission delay; Real-time computing; Telecommunications link; Wireless; Telecommunications; Channel (broadcasting)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005724404,0.0003224715,0.0002744115,0.0002804814,0.000190629,0.0005904827,0.0002368034,0.0003389679,0.0005780226],"category_scores_gemma":[0.001343691,0.0001241492,0.00008716654,0.0002494398,0.0002888206,0.0004080756,0.000428661,0.0001736484,0.0001223414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004635891,"about_ca_system_score_gemma":0.0003331612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007658642,"about_ca_topic_score_gemma":0.0008492008,"domain_scores_codex":[0.9996668,0.0001373909,0.0000104452,0.00002244963,0.0001034521,0.00005938303],"domain_scores_gemma":[0.9996462,0.0001706023,0.00005122733,0.00003243451,0.00007847134,0.00002110556],"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":[0.0005718638,0.000164626,0.002366086,0.00005030768,0.00003499525,0.0002872954,0.00006846393,0.8666497,0.04441347,0.01217956,0.0008794166,0.07233405],"study_design_scores_gemma":[0.00002368997,0.0001060784,0.0003755217,0.000001283932,0.000004732001,0.00003555787,0.000009436383,0.9957095,0.002586723,0.0008220159,0.0003212733,0.000004035192],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5795051,0.00027866,0.4152498,0.0001618429,0.00003524102,0.00007046454,0.0000421457,0.0003312423,0.004325474],"genre_scores_gemma":[0.9801946,0.00005255767,0.01912041,0.000016204,0.00001170825,0.00002746008,0.00001547976,0.000003707624,0.0005579467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007658642,"threshold_uncertainty_score":0.003363609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01349750270296428,"score_gpt":0.1999728325211275,"score_spread":0.1864753298181632,"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."}}