{"id":"W4413318892","doi":"10.1109/mmm.2025.3572869","title":"High-Q Tunable Bandpass Filters With a Wide Tuning Range Using a Minimum Number of Tuning Elements","year":2025,"lang":"en","type":"article","venue":"IEEE Microwave Magazine","topic":"Semiconductor Lasers and Optical Devices","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Band-pass filter; Electronic engineering; Range (aeronautics); Prototype filter; Materials science; Computer science; Electrical engineering; Filter (signal processing); Engineering; Low-pass filter","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001367722,0.0002782567,0.0004221574,0.000153042,0.00005872876,0.00005222546,0.000194361,0.00009050173,0.0001596409],"category_scores_gemma":[0.00002174644,0.0002550833,0.00007592835,0.000461617,0.00007911175,0.0001798309,0.00003476808,0.0001932961,0.00003503761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001005784,"about_ca_system_score_gemma":0.00003680772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007410185,"about_ca_topic_score_gemma":0.00005205569,"domain_scores_codex":[0.9986753,0.00002476481,0.0004204896,0.0002681919,0.000165852,0.0004453941],"domain_scores_gemma":[0.9993492,0.0001120212,0.00007477442,0.0002866669,0.00009191541,0.00008545117],"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":[0.00006076771,0.00003196831,0.01025056,0.0003518426,0.0002261085,0.00003751078,0.0001447104,0.003696593,0.9813399,0.00007750453,0.003441519,0.0003410087],"study_design_scores_gemma":[0.005448179,0.0001030734,0.002829282,0.002257098,0.0005016961,0.00004844654,0.0004335394,0.09527187,0.8830841,0.0002628903,0.008605871,0.001153989],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9788421,0.0002641456,0.01242308,0.00004152316,0.0004436869,0.0001966153,0.00002362096,0.0001161507,0.007649055],"genre_scores_gemma":[0.9836352,0.00001917184,0.01509615,0.0001810212,0.00005837272,0.00001044215,0.00001533526,0.00005318202,0.0009310932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09825584,"threshold_uncertainty_score":0.9999902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01172051736417609,"score_gpt":0.2346204309616197,"score_spread":0.2228999135974436,"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."}}