{"id":"W2154259828","doi":"10.1109/aps.1989.135046","title":"Adaptive beamforming using multimode feed horn antennas","year":2003,"lang":"en","type":"article","venue":"","topic":"Antenna Design and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Adaptive beamformer; Multi-mode optical fiber; Beamforming; Computer science; Feed horn; Electronic engineering; Bandwidth (computing); Single antenna interference cancellation; Antenna (radio); Adaptive filter; Directional antenna; Antenna array; Horn antenna; Acoustics; Algorithm; Radiation pattern; Engineering; Telecommunications; Slot antenna; Physics; Optical fiber; Decoding methods","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":[0.00006472057,0.0001113439,0.0001022146,0.00006585244,0.00005888129,0.00002026728,0.00004276027,0.00005707622,0.00009949403],"category_scores_gemma":[0.00001549997,0.0001048407,0.00003533295,0.0001461536,0.00001452704,0.0001867523,0.000005261013,0.00007222884,0.00002987833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005279199,"about_ca_system_score_gemma":0.00001038148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002374469,"about_ca_topic_score_gemma":0.000007476346,"domain_scores_codex":[0.9994885,0.00001202401,0.0001250877,0.0001008802,0.00007144277,0.0002020122],"domain_scores_gemma":[0.9997943,0.00001433576,0.00001335596,0.00009302681,0.00003333378,0.00005166977],"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":[0.00001185336,0.000024365,0.0003924972,0.00001783712,0.00005508426,0.00000825148,0.0005351036,0.93507,0.05831362,0.003639266,0.0001923557,0.001739771],"study_design_scores_gemma":[0.0001972361,0.00001071603,0.00004796007,0.00001421038,0.000009167122,0.000009762996,0.0003820018,0.9935721,0.005329809,0.00006196199,0.000212054,0.0001530822],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01858992,0.0001175609,0.9647623,0.000002660518,0.0001490402,0.00009724316,0.000001049074,0.0002858359,0.01599437],"genre_scores_gemma":[0.8260462,0.00002469226,0.1734679,0.00003498321,0.00002085159,0.000002322207,0.000001877694,0.00002760665,0.0003735539],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8074563,"threshold_uncertainty_score":0.427528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02413861709573642,"score_gpt":0.2148854736694974,"score_spread":0.190746856573761,"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."}}