{"id":"W1998640339","doi":"10.1007/s11276-005-5278-7","title":"An Efficient Adaptive Cell Sectoring Technique for Non-Uniform Traffic in DS-CDMA Systems","year":2005,"lang":"en","type":"article","venue":"Wireless Networks","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Code division multiple access; Algorithm; Spread spectrum; Computational complexity theory; Distributed computing; Mathematical optimization; Computer network; Mathematics","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":[0.001034327,0.0002354078,0.0003148768,0.0002671357,0.0001959268,0.0002153962,0.002127098,0.0002315242,0.000002411562],"category_scores_gemma":[0.000005935534,0.0002320295,0.00008010789,0.0008300574,0.00005706008,0.0003518324,0.0002749049,0.0005787432,0.000008370605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002987152,"about_ca_system_score_gemma":0.0001027949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004068094,"about_ca_topic_score_gemma":0.0001462757,"domain_scores_codex":[0.9978182,0.0001649165,0.0004374143,0.000536471,0.0003141098,0.0007289083],"domain_scores_gemma":[0.9979001,0.0003023345,0.000146067,0.001322467,0.0001541138,0.000174868],"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":[0.00001811462,0.0001525712,0.00002240504,0.00001840845,0.000004665785,0.000003335675,0.0002707852,0.9698255,0.0002143614,0.004208866,0.0005141666,0.02474681],"study_design_scores_gemma":[0.0004487126,0.00009787807,0.00006805548,0.0001104047,0.000001779808,0.000006096569,0.00005337074,0.9967337,0.0006433968,0.00001540794,0.001550153,0.0002710853],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02903289,0.000414323,0.967571,0.0001055389,0.000296903,0.001369451,0.000002572751,0.0003103026,0.0008970357],"genre_scores_gemma":[0.9705875,0.00006451045,0.02763126,0.0000394178,0.0004612963,0.001066448,0.00001399999,0.0000429166,0.00009263727],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9415546,"threshold_uncertainty_score":0.9461889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02007061940067955,"score_gpt":0.2734372956029983,"score_spread":0.2533666762023188,"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."}}