{"id":"W1985125650","doi":"10.1109/pimrc.2007.4394109","title":"Finger Replacement Schemes for RAKE Reception in the Soft Handover Region with Multiple Base Stations","year":2007,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Fading; Soft handover; Rake; Base station; Overhead (engineering); Block (permutation group theory); Independent and identically distributed random variables; Reduction (mathematics); Rake receiver; Handover; Computer network; Path (computing); Algorithm; Telecommunications; Mathematics; Channel (broadcasting); Random variable; Statistics; Engineering","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":[0.001559976,0.00007417565,0.00006866518,0.0001103743,0.0001894068,0.000129713,0.000696954,0.00003360239,0.00001226053],"category_scores_gemma":[0.0001452305,0.00004768161,0.00002454225,0.0004996022,0.00004322296,0.0003391325,0.0001118927,0.0001372662,0.00000820688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006618835,"about_ca_system_score_gemma":0.00005287792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005712907,"about_ca_topic_score_gemma":0.001385873,"domain_scores_codex":[0.9989083,0.0001128958,0.0001959695,0.0002252163,0.00030429,0.0002533584],"domain_scores_gemma":[0.9976716,0.001205103,0.00006383817,0.000867487,0.0001540898,0.00003785553],"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":[0.001685832,0.001479057,0.05423721,0.00008846814,0.00007541304,0.00001972042,0.01365459,0.01287129,0.001571801,0.2031868,0.1021213,0.6090086],"study_design_scores_gemma":[0.003147667,0.0003145355,0.01449052,0.00006470228,0.000003812117,0.00001088553,0.0008605579,0.8746489,0.002114075,0.0008615337,0.1032322,0.0002505892],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0158641,0.00003955462,0.9773969,0.005185413,0.00002832449,0.0006527483,5.448696e-7,0.00005513403,0.0007772524],"genre_scores_gemma":[0.8624325,0.00002565079,0.1358881,0.0005396695,0.00002728063,0.0001685514,0.00001352433,0.000006595872,0.0008981173],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8617777,"threshold_uncertainty_score":0.19444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05183745744644343,"score_gpt":0.3135752028111765,"score_spread":0.2617377453647331,"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."}}