{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001127891,0.0004085931,0.0003138641,0.0004656294,0.0003374475,0.0006114466,0.0007548307,0.0002687236,0.001577901],"category_scores_gemma":[0.002156939,0.0001722165,0.000124994,0.0004110244,0.000342494,0.0005239283,0.0005397024,0.0003331126,0.0002322314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007043288,"about_ca_system_score_gemma":0.0007185792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002160462,"about_ca_topic_score_gemma":0.002270288,"domain_scores_codex":[0.9994556,0.0001981418,0.00001584192,0.00007031095,0.0001340976,0.0001259702],"domain_scores_gemma":[0.9991105,0.0004623109,0.0001441697,0.00008737063,0.0001450159,0.0000505619],"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":[0.0006583884,0.0003043725,0.001574173,0.0001223619,0.00003655038,0.000141581,0.0000893137,0.7711639,0.03094561,0.01848133,0.003786297,0.1726961],"study_design_scores_gemma":[0.00001995202,0.00006443485,0.0001838858,0.000001978695,0.000004885971,0.00002845854,0.00001362855,0.9943216,0.002988632,0.002001005,0.0003671503,0.000004411174],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2519487,0.0005151961,0.7407531,0.0002254708,0.00005364474,0.0001035131,0.00007866796,0.0004565977,0.005865116],"genre_scores_gemma":[0.965692,0.00008620174,0.03266605,0.00003734916,0.00001748751,0.00003740291,0.00003495503,0.00001456237,0.001413855],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002160462,"threshold_uncertainty_score":0.005964875,"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."}}