{"id":"W4403211217","doi":"10.1109/apwc61918.2024.10701873","title":"Coupling Reduction in Two by Two MIMO Vivaldi Antennas For Full Duplex Applications","year":2024,"lang":"en","type":"article","venue":"","topic":"Full-Duplex Wireless Communications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"MIMO; Reduction (mathematics); Coupling (piping); Duplex (building); Computer science; Physics; Electronic engineering; Materials science; Engineering; Telecommunications; Mathematics; Geometry; Beamforming; Chemistry","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":[0.0003277946,0.0006161794,0.0004904419,0.0002254346,0.0001509632,0.0008028888,0.0006504336,0.0006171259,0.001362601],"category_scores_gemma":[0.0005706667,0.0003713012,0.0004136835,0.0003529761,0.0003269603,0.0005771382,0.0004938307,0.0004690968,0.0006980664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004583955,"about_ca_system_score_gemma":0.000172867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001311015,"about_ca_topic_score_gemma":0.0002025632,"domain_scores_codex":[0.999582,0.00010581,0.00001171765,0.00006906464,0.0001762286,0.00005517273],"domain_scores_gemma":[0.9995595,0.0001282453,0.0001070399,0.0000738369,0.00009349405,0.00003789675],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003321456,0.00009715858,0.001428632,0.0002346929,0.0001108841,0.0004159511,0.0002183562,0.04743496,0.873676,0.01494038,0.002002464,0.05910837],"study_design_scores_gemma":[0.00006506246,0.001272251,0.003266304,0.00003207314,0.0001086934,0.002641705,0.0001632419,0.3724688,0.5862454,0.004286494,0.02930069,0.0001493653],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2942148,0.000802601,0.6868512,0.0003961733,0.0002225423,0.00003830869,0.00009729906,0.0009419682,0.01643517],"genre_scores_gemma":[0.8771465,0.0002707037,0.1159962,0.0001401771,0.00004198356,0.00004614124,0.0001101721,0.0001120125,0.006136078],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001362601,"threshold_uncertainty_score":0.004558325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0161505264210306,"score_gpt":0.2923289152212101,"score_spread":0.2761783888001795,"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."}}