{"id":"W4392058346","doi":"10.3390/s24051413","title":"Advanced Dielectric Resonator Antenna Technology for 5G and 6G Applications","year":2024,"lang":"en","type":"article","venue":"Sensors","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Extremely high frequency; Flexibility (engineering); Antenna (radio); Context (archaeology); Printed circuit board; Computer science; Dielectric resonator; Electronic engineering; Dielectric resonator antenna; Resonator; Materials science; Electrical engineering; Telecommunications; 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":[0.0003387176,0.0006470861,0.0004165632,0.0005860145,0.0001393295,0.0008034176,0.0004851792,0.0009510004,0.005510695],"category_scores_gemma":[0.0002927738,0.000325051,0.0005051297,0.000656395,0.0002057604,0.001031405,0.0002889426,0.0007841614,0.005422249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003176311,"about_ca_system_score_gemma":0.0001759387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001332854,"about_ca_topic_score_gemma":0.0002296584,"domain_scores_codex":[0.9997643,0.00002974252,0.0000165915,0.00005909424,0.0001035928,0.00002671536],"domain_scores_gemma":[0.9998755,0.00003587033,0.00002811738,0.00001253832,0.00003898183,0.00000893085],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001171085,0.0000674294,0.0005287441,0.003916692,0.00009295509,0.0004700483,0.0001339044,0.002821947,0.2861563,0.02730466,0.02214447,0.6562457],"study_design_scores_gemma":[0.00001428779,0.0004815206,0.0008963657,0.0002891781,0.00008675292,0.002505854,0.00007960122,0.004250361,0.07296351,0.003972873,0.9144038,0.00005583308],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.02721315,0.6350664,0.2238097,0.002476126,0.003854463,0.0001515239,0.0004080727,0.001101136,0.1059194],"genre_scores_gemma":[0.2014312,0.5619957,0.1563851,0.002405808,0.00222742,0.0001893204,0.0006790654,0.000257964,0.07442838],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005510695,"threshold_uncertainty_score":0.01843506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005127484024567617,"score_gpt":0.2199415292603478,"score_spread":0.2148140452357802,"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."}}