{"id":"W2796675502","doi":"10.1109/tmtt.2018.2818155","title":"Gap-Coupled Excitation for Evanescent-Mode Substrate Integrated Waveguide Filters","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Microwave Theory and Techniques","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Waveguide; Capacitive sensing; Resonator; Miniaturization; Cutoff frequency; Band-pass filter; Multipole expansion; Aperture (computer memory); Waveguide filter; Excitation; Materials science; Optics; Optoelectronics; Physics; Acoustics; Engineering; Prototype filter; Filter (signal processing); Electrical 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":[0.0004452115,0.0003125675,0.0002353849,0.0002523697,0.0001792941,0.00006067671,0.0001232185,0.0001744468,0.00005454437],"category_scores_gemma":[0.00001167072,0.0003049916,0.0001108146,0.000177592,0.0001651907,0.0001474118,9.797675e-7,0.0002269126,0.00001602318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007295847,"about_ca_system_score_gemma":0.00001675478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001110564,"about_ca_topic_score_gemma":0.00002744459,"domain_scores_codex":[0.9989341,0.00005424751,0.0003153756,0.0002889054,0.0000781558,0.0003291905],"domain_scores_gemma":[0.9993147,0.0001903237,0.00003483578,0.000248508,0.0001208421,0.00009083327],"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":[0.0001868492,0.00003465612,4.041626e-7,0.0001024545,0.00008169132,0.000001797079,0.000402443,0.0004358265,0.9784521,0.001849098,0.000503759,0.01794895],"study_design_scores_gemma":[0.0002957826,0.0002241035,0.000002866363,0.0001474895,0.00005739589,0.00002496248,0.0001128478,0.01002958,0.9795549,0.007531411,0.001668574,0.000350115],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1899986,0.00008750579,0.8072569,0.00001943223,0.0003227182,0.0003881765,0.00007550356,0.0010294,0.0008216914],"genre_scores_gemma":[0.984453,0.0001827785,0.01447681,0.00008477125,0.0001032189,0.0001238469,0.00002398915,0.00008280043,0.0004688042],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7944543,"threshold_uncertainty_score":0.9999402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01305185753135948,"score_gpt":0.2500764667221646,"score_spread":0.2370246091908051,"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."}}