{"id":"W74481606","doi":"10.1007/1-4020-4437-2_38","title":"Dynamic and Scalable Bandwidth Allocation for Beyond 3G CDMA Systems","year":2006,"lang":"en","type":"book-chapter","venue":"","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria; University of British Columbia; Nortel (Canada)","funders":"","keywords":"Computer science; Scalability; Dynamic bandwidth allocation; Bandwidth (computing); Computer network; Code division multiple access; W-CDMA","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":[0.00005442931,0.0002881692,0.0003006265,0.0001079077,0.00005494126,0.00005153231,0.00006642391,0.0003156056,0.00002499865],"category_scores_gemma":[0.000002582768,0.0003072224,0.00004246248,0.00002403198,0.00002534817,0.0001295104,0.00001542411,0.0001168961,0.0000132713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001499084,"about_ca_system_score_gemma":0.00001026733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006730787,"about_ca_topic_score_gemma":0.00003404565,"domain_scores_codex":[0.9991375,0.000002531558,0.0002940418,0.0002562286,0.0001116083,0.0001981394],"domain_scores_gemma":[0.9995472,0.00005589717,0.0000703509,0.0002039188,0.00007490257,0.00004774875],"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":[0.000003696456,0.000001905556,0.000001562598,0.0003033127,0.00003580572,5.711371e-7,0.000005204097,0.959448,0.0000325885,0.03031077,0.00672895,0.003127597],"study_design_scores_gemma":[0.000239876,0.0000185352,0.000004062149,0.0001464703,0.00004410337,0.000004568685,0.00000250176,0.9391525,0.00001216805,0.002603035,0.05743266,0.0003394854],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.00001182706,0.002941662,0.6979601,0.00001083308,0.0004044566,0.0006467,0.00003928915,0.0003526418,0.2976325],"genre_scores_gemma":[0.02047957,0.001784513,0.0281917,0.0000240133,0.0003084159,0.00015403,0.001642425,0.0003623258,0.947053],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6697683,"threshold_uncertainty_score":0.999938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004323643471213483,"score_gpt":0.1823943904343744,"score_spread":0.1780707469631609,"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."}}