{"id":"W2155289178","doi":"10.1109/mwsym.2008.4633124","title":"A novel reconfigurable impedance matching network using DGS and MEMS switches for millimeter-wave applications","year":2008,"lang":"en","type":"article","venue":"","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Impedance matching; Coplanar waveguide; Standing wave ratio; Insertion loss; Electrical impedance; Microelectromechanical systems; Extremely high frequency; Electric power transmission; Smith chart; Electronic engineering; Computer science; Materials science; Electrical engineering; Optoelectronics; Microwave; Engineering; Telecommunications","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001137833,0.00016449,0.0001859767,0.00004539889,0.0001682591,0.00002918804,0.00006017369,0.00006837707,0.00000925067],"category_scores_gemma":[0.000007087954,0.0001667487,0.0000505308,0.0001190171,0.00002236614,0.00009341844,0.00001111736,0.00008675804,0.000003446034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003307315,"about_ca_system_score_gemma":0.00001107055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000436249,"about_ca_topic_score_gemma":0.000008302723,"domain_scores_codex":[0.9992367,0.000001613414,0.0002110682,0.0001893385,0.00005117359,0.0003101073],"domain_scores_gemma":[0.9996086,0.0000914487,0.00002264879,0.0001754143,0.0000281119,0.00007375978],"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":[0.000003978476,0.00001335976,0.00004314486,0.0001965735,0.00009053016,0.000001346466,0.0003473096,0.3475543,0.6458525,0.0006430193,0.001333586,0.003920344],"study_design_scores_gemma":[0.0006764951,0.00003232984,0.0002770522,0.000122632,0.00005320695,0.0005608222,0.0001283891,0.8868934,0.08034646,0.001349489,0.02877177,0.0007879538],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1498296,0.001199182,0.8470308,0.00001564953,0.0001165629,0.0002667001,0.00001222945,0.0002735029,0.001255828],"genre_scores_gemma":[0.8592625,0.0002548366,0.1395953,0.0000362085,0.0002783756,0.00007881293,0.000008640487,0.00005723573,0.0004281399],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7094328,"threshold_uncertainty_score":0.6799815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03764113839360553,"score_gpt":0.223330532232617,"score_spread":0.1856893938390114,"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."}}