{"id":"W2344965007","doi":"10.1109/lmwc.2016.2549000","title":"Miniaturized Slotted Bandpass Filter Design Using a Ridged Half-Mode Substrate Integrated Waveguide","year":2016,"lang":"en","type":"article","venue":"IEEE Microwave and Wireless Components Letters","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"CMC Microsystems","keywords":"Band-pass filter; Waveguide filter; Waveguide; Substrate (aquarium); Electronic engineering; Materials science; Mode (computer interface); Insertion loss; Filter (signal processing); Optoelectronics; Electrical engineering; Engineering; Prototype filter; Computer science; Low-pass filter","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002520414,0.0006380407,0.0006028109,0.0003104316,0.0001410152,0.0001293126,0.0002979671,0.0002111778,0.00002510049],"category_scores_gemma":[0.00001372917,0.0005051571,0.0001533166,0.0002421148,0.0001578088,0.0002511775,0.00004165951,0.0003027261,0.00004488242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001798536,"about_ca_system_score_gemma":0.00002362734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001073556,"about_ca_topic_score_gemma":0.00001074689,"domain_scores_codex":[0.9976364,0.0001305161,0.0006229805,0.0005526063,0.0002269758,0.0008304544],"domain_scores_gemma":[0.9989629,0.00019826,0.00009311978,0.0004277141,0.00006893916,0.0002490813],"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":[0.00008231652,0.00002770948,0.00007974301,0.00007203157,0.0002172427,0.0000853386,0.0002089703,0.00260276,0.9899915,0.00001046193,0.005483936,0.001137999],"study_design_scores_gemma":[0.001972213,0.00002472812,0.0005938776,0.0004604014,0.00006618624,0.0001083038,0.00001123341,0.07691988,0.917308,0.00002463957,0.001726753,0.0007838379],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7546495,0.0001353636,0.2434933,0.0002803243,0.0007048466,0.0002576784,0.00005352232,0.000385671,0.00003980266],"genre_scores_gemma":[0.9904742,0.0001341002,0.008512618,0.0003601464,0.0001994587,0.00002100085,0.0000376874,0.0001542729,0.0001065505],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2358246,"threshold_uncertainty_score":0.99974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02496311310606276,"score_gpt":0.2158272779894997,"score_spread":0.1908641648834369,"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."}}