{"id":"W1965071906","doi":"10.1109/itst.2006.288949","title":"A Novel Dynamic Stepsize Power Control Algorithm for UMTS W-CDMA Systems","year":2006,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; UMTS frequency bands; Code division multiple access; Power (physics); Power control; Algorithm; Adaptive stepsize; Throughput; Control theory (sociology); Mathematics; Control (management); Telecommunications; Wireless; Numerical analysis","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":[0.0003097547,0.0004902558,0.0003537607,0.0004172768,0.000340289,0.0005886553,0.0007219466,0.0003546174,0.001331321],"category_scores_gemma":[0.001105396,0.0002088297,0.0001759055,0.0004420002,0.0003430463,0.0006100912,0.0005216942,0.0006260035,0.000381009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003653698,"about_ca_system_score_gemma":0.000591484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001763519,"about_ca_topic_score_gemma":0.001871751,"domain_scores_codex":[0.9996637,0.00004812245,0.00001895902,0.00006806004,0.0001678121,0.00003339855],"domain_scores_gemma":[0.9997376,0.00008740262,0.00003426426,0.0000416256,0.00007963938,0.00001951451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002509433,0.00009693528,0.0004816032,0.00005368623,0.00002595807,0.00007280496,0.00009896856,0.1839724,0.04100427,0.01238226,0.00210756,0.7594526],"study_design_scores_gemma":[0.00003113128,0.00008672089,0.0001436375,0.000004068709,0.000005668919,0.00007737687,0.000009048476,0.9861118,0.009034186,0.0020814,0.002404641,0.00001043904],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008900917,0.0001204065,0.9892588,0.00004297383,0.00002447429,0.00003358514,0.00000892521,0.0005126783,0.001097184],"genre_scores_gemma":[0.4271705,0.0001755948,0.5689271,0.0001036946,0.00006513965,0.0001169674,0.00006092239,0.00007110238,0.003308953],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001763519,"threshold_uncertainty_score":0.004453719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01381477278429601,"score_gpt":0.273309314150321,"score_spread":0.259494541366025,"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."}}