{"id":"W1959659487","doi":"10.1109/wcnc.1999.796798","title":"Enhanced capacity using transmit diversity and smart antennas","year":2003,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Base station; Computer science; Channel capacity; Smart antenna; Enhanced Data Rates for GSM Evolution; Wireless; Electronic engineering; Telecommunications; Terminal (telecommunication); Directional antenna; Computer network; Engineering; Channel (broadcasting); Antenna (radio)","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":[0.0008278295,0.0003839727,0.0004489576,0.0005856728,0.0002613943,0.0009750694,0.0005855405,0.0005450739,0.003858309],"category_scores_gemma":[0.003224734,0.0001983937,0.0003004106,0.0005856934,0.001195861,0.001520094,0.001426671,0.0007334138,0.0007202695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007478584,"about_ca_system_score_gemma":0.0004271462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003814241,"about_ca_topic_score_gemma":0.000443404,"domain_scores_codex":[0.999374,0.0001921879,0.00001428236,0.00004910688,0.0002290388,0.0001413726],"domain_scores_gemma":[0.9979231,0.001249149,0.00010853,0.0003854326,0.0002662074,0.00006760132],"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":[0.0003860022,0.0000619332,0.000544656,0.0001432528,0.00005180376,0.0003173962,0.0001404625,0.4254336,0.03348143,0.470015,0.00595904,0.06346548],"study_design_scores_gemma":[0.00004659424,0.0001066104,0.0005332129,0.0000509385,0.00003066398,0.0003867655,0.00003683758,0.7556722,0.01946291,0.2154993,0.008112909,0.00006100401],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1889825,0.00288694,0.7066274,0.001531241,0.0003212591,0.00003518266,0.0003814472,0.00119243,0.09804161],"genre_scores_gemma":[0.9766027,0.0007619774,0.01817844,0.0001364445,0.0001736078,0.00003575152,0.0000976068,0.00004621307,0.003967282],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003858309,"threshold_uncertainty_score":0.01290727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0336221453476957,"score_gpt":0.2296572787582207,"score_spread":0.196035133410525,"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."}}