{"id":"W2090797353","doi":"10.1002/ett.1430","title":"Pre‐LNA smart soft antenna selection for MIMO spatial multiplexing/diversity system when amplifier/sky noise dominates","year":2010,"lang":"en","type":"article","venue":"European Transactions on Telecommunications","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"MIMO; Beamforming; Spatial multiplexing; Antenna (radio); Computer science; Electronic engineering; Diversity gain; Amplifier; Low-noise amplifier; Multiplexing; Noise (video); Antenna diversity; Noise figure; Telecommunications; Engineering; Bandwidth (computing)","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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.000379394,0.0002587796,0.0002457274,0.0003091245,0.00140487,0.0001000821,0.0006589309,0.00009467912,0.0001490492],"category_scores_gemma":[0.00003391243,0.0002818794,0.0002787016,0.0003048527,0.00009262945,0.000217494,0.00002274989,0.0006516267,0.0002009651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009171396,"about_ca_system_score_gemma":0.00001967345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002853205,"about_ca_topic_score_gemma":0.001247816,"domain_scores_codex":[0.9987127,0.0001622228,0.0003809894,0.0002851356,0.0001401873,0.0003187219],"domain_scores_gemma":[0.9985139,0.0002490845,0.0000843536,0.0008298579,0.0001797606,0.0001430184],"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":[0.0006671422,0.002821165,0.005833567,0.001032303,0.00319197,0.0000130606,0.01436698,0.04881455,0.7626584,0.001925415,0.004404812,0.1542707],"study_design_scores_gemma":[0.001280483,0.0001303337,0.006610041,0.0001077558,0.0004038909,0.00002771578,0.0007693995,0.9746709,0.003277957,0.00005317195,0.0119719,0.0006964471],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01332328,0.00004954563,0.9827445,0.0001954456,0.0003709751,0.0004675385,0.0001498225,0.001005102,0.001693793],"genre_scores_gemma":[0.9811535,0.00007872666,0.0176625,0.00004008403,0.00009928684,0.00006875174,0.00008212132,0.00008401339,0.0007309952],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9678302,"threshold_uncertainty_score":0.9999633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01500165000897104,"score_gpt":0.2122506517303813,"score_spread":0.1972490017214102,"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."}}