{"id":"W2114868020","doi":"10.1109/iwat.2009.4906938","title":"MIMO antenna optimization using method of moments analysis","year":2009,"lang":"en","type":"article","venue":"","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"MIMO; Method of moments (probability theory); Reciprocity (cultural anthropology); Antenna (radio); Ground plane; 3G MIMO; Radiation pattern; Computer science; Electronic engineering; Minification; Mathematics; Mathematical optimization; Telecommunications; Engineering; Beamforming","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001016281,0.00008029572,0.0002276438,0.0003322152,0.00001808392,0.0000109376,0.00006437998,0.00003600967,0.000238009],"category_scores_gemma":[0.00000603373,0.00007176333,0.0001505713,0.001180015,0.000005918504,0.00008628894,0.000004382115,0.00003051842,0.000002062586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001911509,"about_ca_system_score_gemma":0.000002942287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002448535,"about_ca_topic_score_gemma":0.000001647452,"domain_scores_codex":[0.999482,0.00001797742,0.0001962622,0.00009219701,0.0001011495,0.0001104245],"domain_scores_gemma":[0.9997504,0.00001064513,0.00002961474,0.0001301685,0.00004357907,0.00003559885],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001732581,0.00001497038,0.0005618792,0.000004412744,0.0004496095,0.000001011472,0.00003849079,0.9355,0.06262567,0.00005831255,0.00001059108,0.0007332714],"study_design_scores_gemma":[0.00007146691,0.000008221857,0.0006015236,0.000004420129,0.0005549663,5.862927e-7,0.00005341876,0.9972566,0.001334163,0.00003167227,0.000003389687,0.00007954818],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005203654,0.00007193876,0.9935004,0.00001589621,0.00001320929,0.00002620121,0.000001773936,0.0000776949,0.001089306],"genre_scores_gemma":[0.7426016,0.00003705015,0.257133,0.0000287011,0.000009059552,2.51967e-7,0.000006860364,0.000005466148,0.0001779642],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.737398,"threshold_uncertainty_score":0.2926424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01804357675643246,"score_gpt":0.2692129893422174,"score_spread":0.251169412585785,"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."}}