{"id":"W2157480020","doi":"10.1109/tvt.2009.2037884","title":"A Compact Dual-Port Diversity Antenna for Long-Term Evolution Handheld Devices","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"Blackberry (Canada)","funders":"","keywords":"Antenna diversity; Antenna (radio); Mobile device; Electronic engineering; Link budget; Computer science; Wireless; Diversity gain; Electrical engineering; Engineering; Telecommunications; MIMO","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":[0.0001500227,0.0004589586,0.0003710261,0.0002346015,0.0001586568,0.0005140592,0.0007974641,0.0008070901,0.001626016],"category_scores_gemma":[0.0003101876,0.0002054491,0.000353092,0.0003557195,0.0001483593,0.0005315431,0.0003896696,0.0006072906,0.00116994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003216573,"about_ca_system_score_gemma":0.0001670074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001376389,"about_ca_topic_score_gemma":0.0001754762,"domain_scores_codex":[0.999809,0.00003863218,0.00001051762,0.00003506273,0.0000827,0.00002411511],"domain_scores_gemma":[0.9997231,0.00005842721,0.00004810934,0.00005208035,0.00009384831,0.00002445402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003751566,0.00007790342,0.001914826,0.0002350441,0.00008530255,0.000771522,0.00007823347,0.01380576,0.7230186,0.007752552,0.005026615,0.2468584],"study_design_scores_gemma":[0.0002457849,0.002978478,0.007910744,0.0001345566,0.0002072863,0.01196762,0.0001301924,0.4010443,0.4768032,0.005824296,0.09254532,0.0002083414],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0794235,0.001165514,0.9075503,0.00042609,0.0002813883,0.00004172579,0.0001212339,0.0008838882,0.01010633],"genre_scores_gemma":[0.7493219,0.0005792151,0.2384256,0.0005072778,0.0002063649,0.0001189643,0.0002136843,0.00005700071,0.01057009],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001626016,"threshold_uncertainty_score":0.005439579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01316432266646561,"score_gpt":0.2257279072977688,"score_spread":0.2125635846313032,"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."}}