{"id":"W2072629980","doi":"10.1002/ett.1249","title":"Efficient resource management for packet mode cdma2000","year":2007,"lang":"en","type":"article","venue":"European Transactions on Telecommunications","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"CDMA2000; Computer science; Computer network; Network packet; Throughput; Wireless; Scheduling (production processes); Real-time computing; Telecommunications; Code division multiple access; 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":[0.0003178526,0.0001675942,0.0001088381,0.0002118092,0.0004027223,0.00002707929,0.0003838641,0.00003470108,0.00003894644],"category_scores_gemma":[0.000003803308,0.0001965714,0.00008856096,0.0004057687,0.00004323804,0.00004155971,0.000006705881,0.0002360477,0.00009843184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001340295,"about_ca_system_score_gemma":0.000003649245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001262023,"about_ca_topic_score_gemma":0.0000181459,"domain_scores_codex":[0.9990069,0.00006385154,0.0003292984,0.0001807174,0.0001097987,0.0003094748],"domain_scores_gemma":[0.9987376,0.0001868841,0.00004019076,0.0009071863,0.00003997716,0.0000881294],"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":[0.00001495272,0.00009833863,5.957149e-7,0.00001701016,0.00003903716,8.496036e-7,0.0001774128,0.9146939,0.00005616587,0.0006444314,0.0005344661,0.08372282],"study_design_scores_gemma":[0.000845845,0.00005640467,0.0003444741,0.00007042806,0.00007060351,0.000005416225,0.0003965296,0.773072,0.001596957,0.00006712422,0.2230316,0.0004426348],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0009439107,0.0001212888,0.8861182,0.00009641844,0.00009142537,0.0004474176,0.00003471095,0.0006970693,0.1114495],"genre_scores_gemma":[0.8285117,0.0002966114,0.1695738,0.00009353363,0.00004096653,0.00007116298,0.00008923135,0.0001228645,0.001200237],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8275677,"threshold_uncertainty_score":0.8015949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01040498863930278,"score_gpt":0.2381369657511266,"score_spread":0.2277319771118239,"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."}}