{"id":"W2109049602","doi":"10.1109/icc.2008.172","title":"Particle Filtering for Mobility Enhanced Adaptive Sectoring for CDMA Uplink Capacity Maximization","year":2008,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Telecommunications link; Computer science; Cellular network; Interference (communication); Probability density function; Maximization; Mathematical optimization; Algorithm; Computer network; Mathematics; Statistics","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":[0.0008457018,0.0004276905,0.0008396019,0.0003044568,0.0003582484,0.0005929885,0.0004764427,0.0007092499,0.0007232116],"category_scores_gemma":[0.002833162,0.0003762232,0.0004675809,0.0005010191,0.0005874285,0.000643696,0.0004637053,0.0008296493,0.0001371523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007426027,"about_ca_system_score_gemma":0.0009239769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007516163,"about_ca_topic_score_gemma":0.004386031,"domain_scores_codex":[0.9997357,0.0001018961,0.00001505298,0.00004611886,0.00006612362,0.00003515478],"domain_scores_gemma":[0.9991328,0.0005922855,0.00007317984,0.00005903451,0.000118943,0.00002373601],"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":[0.00007482502,0.00002403557,0.000368803,0.00003513355,0.00002438095,0.00002848935,0.00004391137,0.9580413,0.001965869,0.0115564,0.0005587104,0.02727801],"study_design_scores_gemma":[0.000002629557,0.000004180431,0.00003163358,7.703864e-7,0.000001431613,0.000001580441,9.226968e-7,0.999074,0.0001029872,0.0007009377,0.00007775758,0.000001192689],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01199351,0.0001673559,0.9870481,0.0001345876,0.00003875648,0.00001256105,0.00001632617,0.0001030721,0.0004856727],"genre_scores_gemma":[0.787597,0.0005182631,0.2089882,0.0000890575,0.00009799613,0.0001523031,0.0001122021,0.00005013589,0.002394825],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007516163,"threshold_uncertainty_score":0.01494485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1432196519773742,"score_gpt":0.3061583260472147,"score_spread":0.1629386740698405,"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."}}