{"id":"W1481989998","doi":"10.1109/pimrc.2005.1651745","title":"Soft Handoff Prioritizing Algorithm for Downlink Call Admission Control of Next-Generation Cellular CDMA Networks","year":2006,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Handover; Computer science; Soft handover; Base station; Telecommunications link; Guard (computer science); Computer network; Power control; Code division multiple access; Real-time computing; Distributed computing; Power (physics); Algorithm","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":[0.0007944728,0.0001625873,0.0002694833,0.0001174095,0.0002645291,0.0002563513,0.001004721,0.0001555981,0.00001222888],"category_scores_gemma":[0.00004545733,0.0001463863,0.0001223358,0.0003653606,0.00005731281,0.0004944385,0.0002439307,0.000205215,0.000004984537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006191165,"about_ca_system_score_gemma":0.0001255972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001294955,"about_ca_topic_score_gemma":0.00004032014,"domain_scores_codex":[0.9980871,0.0001976517,0.0005212212,0.0003749112,0.0003939639,0.0004251429],"domain_scores_gemma":[0.9978971,0.0004748905,0.00016717,0.0008986227,0.0004378232,0.0001243195],"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":[0.00002243607,0.0002332506,0.0001721936,0.00002734966,0.00003195057,0.000004666479,0.00006493642,0.0571759,0.08391651,0.02340005,0.008523872,0.8264269],"study_design_scores_gemma":[0.001172858,0.00008075481,0.00008800574,0.00002593328,0.000006209738,0.000002470446,0.000003946082,0.9822846,0.01065578,0.000366525,0.005151851,0.0001610531],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0008491933,0.001616155,0.9951874,0.000992406,0.000200327,0.0006665936,0.000003696418,0.0001356217,0.0003485869],"genre_scores_gemma":[0.7402732,0.00006267482,0.2582147,0.0001248852,0.0004991323,0.00007760302,0.00005685792,0.00001636833,0.0006746062],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9251087,"threshold_uncertainty_score":0.5969462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0350664302616429,"score_gpt":0.2707799775057961,"score_spread":0.2357135472441532,"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."}}