{"id":"W3191624780","doi":"10.1002/mmce.22831","title":"Ridge gap waveguide antenna array with improved mutual isolation for millimeter wave applications","year":2021,"lang":"en","type":"article","venue":"International Journal of RF and Microwave Computer-Aided Engineering","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"King Fahd University of Petroleum and Minerals","keywords":"Antenna (radio); Return loss; Extremely high frequency; Isolation (microbiology); Optics; Radiation pattern; Antenna array; Millimeter; Acoustics; Broadside; Slot antenna; Radiation; Materials science; Optoelectronics; Physics; Electrical engineering; Engineering","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":[0.000138067,0.0003159651,0.0002761613,0.0001543796,0.00008492474,0.0003336771,0.0004399834,0.0003661849,0.0005458125],"category_scores_gemma":[0.0002052293,0.0001772386,0.0002319764,0.0002466123,0.0001581912,0.0003987162,0.0003728669,0.00034817,0.0006052274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001447391,"about_ca_system_score_gemma":0.0001147615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006054652,"about_ca_topic_score_gemma":0.000169914,"domain_scores_codex":[0.9998313,0.00002562065,0.000009797874,0.00004000326,0.00006159147,0.00003165224],"domain_scores_gemma":[0.9998154,0.00002843593,0.00006359444,0.00004417287,0.00003553885,0.00001287878],"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":[0.00006950613,0.00003738756,0.0006023186,0.00003998923,0.00001808996,0.000065341,0.00002574878,0.001653918,0.9823256,0.0008944973,0.0002620391,0.01400555],"study_design_scores_gemma":[0.00002275113,0.0003374222,0.001381376,0.000003993547,0.00002423,0.0003659844,0.00002436384,0.03801841,0.9553607,0.0002836203,0.004163967,0.00001317375],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7258011,0.0004694123,0.2642392,0.0001844141,0.0001148472,0.0000251275,0.0001020368,0.001484841,0.007578994],"genre_scores_gemma":[0.9167415,0.0001140404,0.0808378,0.00006373446,0.0000234727,0.00002666318,0.0001200263,0.00006113316,0.002011732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005458125,"threshold_uncertainty_score":0.001825869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01076200709012406,"score_gpt":0.2089671844180203,"score_spread":0.1982051773278962,"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."}}