{"id":"W1980080748","doi":"10.1109/tap.2011.2180318","title":"Near-Field Analysis of Electromagnetic Interactions in Antenna Arrays Through Equivalent Dipole Models","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Antennas and Propagation","topic":"Electromagnetic Compatibility and Measurements","field":"Engineering","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Dipole antenna; Near and far field; Antenna (radio); Dipole; Physics; Electromagnetic field; Coupling (piping); Field (mathematics); Fourier transform; Boundary value problem; Radiation pattern; Computational physics; Optics; Mathematical analysis; Acoustics; Computer science; Mathematics; Telecommunications; Engineering; Quantum mechanics","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":[0.0001166135,0.0001362232,0.0002292148,0.000253486,0.00006477949,0.00001619839,0.0000668083,0.00004484998,0.0001737593],"category_scores_gemma":[0.000003348866,0.0001365055,0.00009181711,0.0006630117,0.00004026971,0.000190935,7.384688e-7,0.0002026086,0.000003133041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004385465,"about_ca_system_score_gemma":0.00001725016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004311712,"about_ca_topic_score_gemma":0.00141144,"domain_scores_codex":[0.9991044,0.00004109298,0.0003267058,0.0001902759,0.0001408978,0.0001965969],"domain_scores_gemma":[0.9996306,0.00003951069,0.00004095528,0.0001879835,0.00005858035,0.00004233703],"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":[0.0006492446,0.001373163,0.001036729,0.000334733,0.0013611,0.000008003066,0.01385978,0.09678766,0.8375115,0.001049628,0.00003187329,0.0459966],"study_design_scores_gemma":[0.0004279227,0.000657472,0.00460075,0.00008319983,0.000400682,0.000003859029,0.0001596007,0.8863468,0.1060102,0.001101912,0.00001010505,0.0001975824],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5131467,0.000106327,0.4850429,0.00002678073,0.0000945444,0.000169878,0.00000606827,0.00004793121,0.001358814],"genre_scores_gemma":[0.9982678,0.0003048713,0.001284297,0.00002919183,0.000004928874,0.00003584115,0.000003383566,0.0000124294,0.00005731266],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7895591,"threshold_uncertainty_score":0.5566533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0469413587464048,"score_gpt":0.2478275903235238,"score_spread":0.200886231577119,"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."}}