{"id":"W2144347775","doi":"10.1109/tmtt.2006.875290","title":"A compact and selective low-pass filter with reduced spurious responses, based on CPW tapered periodic structures","year":2006,"lang":"en","type":"article","venue":"IEEE Transactions on Microwave Theory and Techniques","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Passband; Return loss; Spurious relationship; Cutoff frequency; Insertion loss; Coplanar waveguide; Microwave; Materials science; Band-pass filter; Filter (signal processing); Stopband; Frequency selectivity; Physics; Capacitor; Optoelectronics; Topology (electrical circuits); Electronic engineering; Optics; Electrical engineering; Telecommunications; Computer science; Engineering; Voltage","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":[0.0002275108,0.0003738684,0.000287527,0.0003148518,0.0001979907,0.00008398409,0.00008356114,0.0001586212,0.0000335323],"category_scores_gemma":[0.000004523753,0.0003199475,0.00006487352,0.0001710338,0.0001756499,0.00007801356,7.321486e-7,0.0004120506,0.000002211856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007741617,"about_ca_system_score_gemma":0.00002658991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000275152,"about_ca_topic_score_gemma":0.00001918412,"domain_scores_codex":[0.9989233,0.0001281368,0.0002105089,0.0003289825,0.0001110032,0.0002980893],"domain_scores_gemma":[0.9993511,0.0002372609,0.00003152348,0.0002599257,0.00003873345,0.00008143465],"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":[0.0009312002,0.00006618624,0.000004986202,0.00009072768,0.00006903908,0.00002334918,0.0001976394,0.008104049,0.9839205,0.0004899161,0.0004175595,0.005684882],"study_design_scores_gemma":[0.0004059727,0.0004132287,0.0002306708,0.000182167,0.00005269809,0.0001070187,0.00003346389,0.0009107608,0.9951752,0.001676471,0.0003998557,0.000412483],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7182591,0.0001997217,0.2784802,0.000041606,0.00006660484,0.0003548897,0.0001032284,0.0008940062,0.00160059],"genre_scores_gemma":[0.9966514,0.00005204135,0.002788924,0.00009556207,0.00004331322,0.00003469204,0.000008542814,0.00007713186,0.0002484359],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2783923,"threshold_uncertainty_score":0.9999253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004458707929115522,"score_gpt":0.1998005243995266,"score_spread":0.1953418164704111,"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."}}