{"id":"W1984516181","doi":"10.1109/jsac.2005.858887","title":"A novel dynamic cell configuration scheme in next-generation situation-aware CDMA networks","year":2005,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Code division multiple access; Handover; Computer network; Cellular network; Power control; Scheme (mathematics); Radio resource management; Soft handover; Reinforcement learning; Resource management (computing); Resource allocation; Call Admission Control; Distributed computing; Power (physics); Wireless network; Wireless; Telecommunications","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001328082,0.0002696482,0.0003006309,0.0009111321,0.0006480987,0.0007062162,0.004134788,0.0002330972,0.00002952418],"category_scores_gemma":[0.0002056664,0.0002911808,0.00008069236,0.003078091,0.0001030169,0.001689681,0.000321846,0.002223848,0.00006052569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001008094,"about_ca_system_score_gemma":0.0005518036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006434756,"about_ca_topic_score_gemma":0.003783445,"domain_scores_codex":[0.9963636,0.001018237,0.001068912,0.0003844824,0.0006141157,0.0005506966],"domain_scores_gemma":[0.9949145,0.0008991554,0.0004706564,0.002674324,0.0008520404,0.0001892774],"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":[0.00005557155,0.002960957,0.001915839,0.00001072178,0.00004809288,0.000008882788,0.002281899,0.8146913,0.06792171,0.01219381,0.002131114,0.09578007],"study_design_scores_gemma":[0.001100376,0.00006846795,0.008335827,0.0001216873,0.00000366778,0.00005153626,0.00005398117,0.9879522,0.0006916836,0.0001436597,0.001197554,0.0002794012],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09755927,0.001492553,0.8786059,0.01911432,0.0003068059,0.0008053757,0.000005069195,0.0001910298,0.001919667],"genre_scores_gemma":[0.9439194,0.002844949,0.05223849,0.0004604974,0.000175604,0.0001232172,0.000104112,0.00002992815,0.0001038618],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8463601,"threshold_uncertainty_score":0.999954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07301597889334246,"score_gpt":0.3232270380317744,"score_spread":0.2502110591384319,"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."}}