{"id":"W2149541201","doi":"10.1109/cjece.2008.4621833","title":"Application of combined electric- and magnetic-conductor ground planes for antenna performance enhancement","year":2008,"lang":"en","type":"article","venue":"Canadian Journal of Electrical and Computer Engineering","topic":"Advanced Antenna and Metasurface Technologies","field":"Engineering","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"University of Manitoba","keywords":"Ground plane; Conductor; Microstrip antenna; Patch antenna; Microstrip; Perfect conductor; Antenna (radio); Electrical impedance; Materials science; Electrical conductor; Dielectric; Bandwidth (computing); Acoustics; Dipole antenna; Optics; Optoelectronics; Electrical engineering; Physics; Engineering; Telecommunications; Composite material","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0001847282,0.0007717744,0.0003506239,0.0003324153,0.00008593949,0.0005046521,0.0003110168,0.0003861389,0.0006964005],"category_scores_gemma":[0.0004655147,0.0001733523,0.0002539525,0.0003614517,0.0002788414,0.0004549048,0.0004935794,0.000191251,0.0004425626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001308068,"about_ca_system_score_gemma":0.00007988465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005147456,"about_ca_topic_score_gemma":0.00008897574,"domain_scores_codex":[0.9998063,0.00004947426,0.00001212031,0.00003168715,0.00006544039,0.00003496861],"domain_scores_gemma":[0.9996632,0.0001155331,0.00008815721,0.00005832707,0.00005575042,0.00001898166],"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":[0.0003918895,0.00005545997,0.002550339,0.0002089438,0.0000773502,0.0004253569,0.00005523237,0.01669354,0.9062755,0.00263803,0.0003809271,0.07024752],"study_design_scores_gemma":[0.00007896321,0.001024089,0.003864138,0.00003246313,0.0001389022,0.002067909,0.00009052987,0.06549962,0.9185412,0.001257313,0.007374357,0.0000304085],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7450586,0.001650764,0.2349421,0.0002377997,0.00008329788,0.00003131461,0.00006083362,0.0009902889,0.01694498],"genre_scores_gemma":[0.9633761,0.0003291446,0.03553555,0.00003471823,0.00002414444,0.00000858994,0.0000357209,0.00003708956,0.0006189938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007717744,"threshold_uncertainty_score":0.002329648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007540018535512939,"score_gpt":0.1665053377388705,"score_spread":0.1589653192033575,"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."}}