{"id":"W2070311181","doi":"10.1109/eumc.2014.6986632","title":"A constant-Q tunable combline bandpass filter using angular tuning technique","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced MEMS and NEMS Technologies","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"University of Waterloo","keywords":"Band-pass filter; Insertion loss; Bandwidth (computing); Center frequency; Fine-tuning; Filter (signal processing); Materials science; m-derived filter; Enhanced Data Rates for GSM Evolution; Control theory (sociology); Low-pass filter; Optoelectronics; Optics; Computer science; Physics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002274945,0.0002888762,0.000291394,0.0002419388,0.0002791388,0.0003902544,0.000585179,0.000652017,0.0009691876],"category_scores_gemma":[0.0002347369,0.0001855784,0.0002219245,0.000203816,0.0002964601,0.0005319577,0.0001709419,0.0002245602,0.0006366844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003780547,"about_ca_system_score_gemma":0.0001808111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005725062,"about_ca_topic_score_gemma":0.0008664642,"domain_scores_codex":[0.999779,0.00001895927,0.0000091026,0.00006977865,0.00009548995,0.00002765488],"domain_scores_gemma":[0.9997965,0.00003436924,0.0000690248,0.00002200273,0.00006365646,0.00001449601],"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":[0.00006653592,0.00001723209,0.0002664464,0.00004278338,0.000007768847,0.0001122641,0.00003676254,0.0002241355,0.9892132,0.000435945,0.0001483566,0.009428646],"study_design_scores_gemma":[0.00004978773,0.0006014804,0.003003388,0.00001149462,0.00002396755,0.001095486,0.00002701473,0.01171491,0.9711305,0.000114505,0.01219708,0.00003039031],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6452577,0.001746562,0.3365836,0.0006135889,0.0002073886,0.0001097861,0.0002182596,0.001804597,0.0134585],"genre_scores_gemma":[0.862128,0.0004941446,0.1309351,0.0001711571,0.0001099302,0.0000614066,0.0001050322,0.00009115024,0.005904044],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009691876,"threshold_uncertainty_score":0.003242314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01467483190737059,"score_gpt":0.2272523607179003,"score_spread":0.2125775288105297,"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."}}