{"id":"W3113437224","doi":"10.1109/tap.2020.3044639","title":"Low-Profile Uniplanar Dual-Band and Dual- Polarized Microstrip Patch Antenna Using Embedded MTM-EBGs","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Antennas and Propagation","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Microstrip antenna; Patch antenna; Metamaterial; Multi-band device; Microstrip; Materials science; Optics; Metamaterial antenna; Reflection coefficient; Antenna (radio); Ground plane; Optoelectronics; Coaxial antenna; Physics; Computer science; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001226566,0.0002881748,0.0003390397,0.000165321,0.0002823207,0.0001277288,0.0000501099,0.0001474628,0.0000866858],"category_scores_gemma":[0.000006652454,0.000270445,0.00009598352,0.0004429093,0.00009536048,0.0002857534,0.000001493186,0.0003033267,0.0000198525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003087027,"about_ca_system_score_gemma":0.00002506347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000869109,"about_ca_topic_score_gemma":0.00002092628,"domain_scores_codex":[0.9987711,0.00006152171,0.0003441949,0.0003571437,0.0001744023,0.0002916147],"domain_scores_gemma":[0.9994649,0.00003962949,0.00006099076,0.0001447955,0.00007789709,0.0002118188],"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":[0.0001178024,0.00003589279,0.00008431909,0.000140186,0.0001087971,0.00002641506,0.0007669725,0.0002488086,0.9955754,0.000006347549,0.00002877315,0.002860294],"study_design_scores_gemma":[0.001188332,0.0001672907,0.0001821213,0.0001425773,0.0001931149,0.00006378994,0.0005739909,0.8857102,0.1112494,0.00003371894,0.00006491044,0.0004305255],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2852285,0.0002765856,0.7134397,0.0003380161,0.0001279901,0.0002504719,0.00009632218,0.0002027263,0.00003971054],"genre_scores_gemma":[0.9978945,0.0006610697,0.0008667317,0.0002766919,0.00007221488,0.00001122675,0.00002446501,0.00004848469,0.0001446538],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8854614,"threshold_uncertainty_score":0.9999748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01808661863008475,"score_gpt":0.2177487468100514,"score_spread":0.1996621281799667,"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."}}