{"id":"W2101155991","doi":"10.1109/vetecs.2000.851723","title":"A macrodiversity combining technique for improving the reverse link capacity of CDMA systems","year":2002,"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 Calgary","funders":"","keywords":"Computer science; Base station; Interference (communication); Computer network; Code division multiple access; Upgrade; Cellular network; Electronic engineering; Telecommunications; 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":[0.001098965,0.00007676869,0.0001355384,0.00006437189,0.0002522219,0.00009446465,0.002089933,0.00006589336,0.00001268886],"category_scores_gemma":[0.0001007384,0.0000567519,0.00006465551,0.0003535399,0.0001109242,0.000248973,0.0008232933,0.0002232028,0.000009766538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005257992,"about_ca_system_score_gemma":0.00001982699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000389668,"about_ca_topic_score_gemma":0.00001165055,"domain_scores_codex":[0.9989396,0.0001880416,0.0002054757,0.0001949776,0.0002466274,0.0002252721],"domain_scores_gemma":[0.9979004,0.0004752921,0.0001287738,0.001205459,0.0002408981,0.00004915839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004068825,0.0005130726,0.003141044,0.0009675455,0.0001633472,0.000008895958,0.01056907,0.005466524,0.08229434,0.7474759,0.0534064,0.09595324],"study_design_scores_gemma":[0.0002698192,0.00006710245,0.0001116377,0.00003627396,0.00000400438,0.000009457655,0.0001211956,0.9886948,0.006882271,0.0002943232,0.003396476,0.0001126321],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003343968,0.0001177757,0.9914014,0.001929009,0.0001009526,0.00088993,0.000003853473,0.0001085953,0.002104483],"genre_scores_gemma":[0.9457088,0.00002287336,0.05356734,0.00006851891,0.00002555394,0.00008370561,5.521894e-7,0.000004679665,0.0005179501],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9832283,"threshold_uncertainty_score":0.3883651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0715882345822237,"score_gpt":0.2613104264438779,"score_spread":0.1897221918616542,"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."}}