{"id":"W2167609563","doi":"10.1109/aps.2009.5171977","title":"Compact DRA for broadband wireless applications","year":2009,"lang":"en","type":"article","venue":"Digest - IEEE Antennas and Propagation Society. International Symposium","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Wireless; Wireless broadband; Broadband; Computer science; Bandwidth (computing); Antenna measurement; Electrical engineering; Telecommunications; Antenna efficiency; Antenna (radio); Reconfigurable antenna; Electronic engineering; Omnidirectional antenna; Engineering; Wireless network","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":[0.0002620341,0.0006877551,0.0006578013,0.000458825,0.0002283568,0.000889325,0.0007617776,0.001045247,0.003890081],"category_scores_gemma":[0.0006209494,0.0003167155,0.0005732409,0.0005986263,0.0001990129,0.001692921,0.0004633618,0.0005005956,0.003382996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002788959,"about_ca_system_score_gemma":0.0001193104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008509425,"about_ca_topic_score_gemma":0.0001474953,"domain_scores_codex":[0.9996812,0.0000857538,0.00001725745,0.00006288851,0.000114571,0.00003836537],"domain_scores_gemma":[0.9994093,0.0001617088,0.0001304668,0.0001089422,0.0001515814,0.00003805983],"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":[0.0005353516,0.0001308149,0.001077618,0.0007941315,0.000123069,0.0007093156,0.0001220014,0.01651895,0.6817232,0.03701758,0.007818991,0.253429],"study_design_scores_gemma":[0.000115109,0.003503904,0.003142871,0.0001790682,0.0003202282,0.009268187,0.0002678558,0.32727,0.4175534,0.008961486,0.2291864,0.0002315054],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1529678,0.01582828,0.7872812,0.001206137,0.0008617412,0.0001269774,0.0003129747,0.002892803,0.03852209],"genre_scores_gemma":[0.7592889,0.00516825,0.2162354,0.0006032902,0.000435969,0.0001164681,0.000288967,0.0001892063,0.01767342],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003890081,"threshold_uncertainty_score":0.0130136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01072465031894271,"score_gpt":0.2425333218952387,"score_spread":0.231808671576296,"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."}}