{"id":"W2161509716","doi":"10.1109/tmtt.2002.807820","title":"Single-substrate integration technique of planar circuits and waveguide filters","year":2003,"lang":"en","type":"article","venue":"IEEE Transactions on Microwave Theory and Techniques","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":965,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Chebyshev filter; Electronic circuit; Planar; Materials science; Integrated circuit; Waveguide; Filter (signal processing); Return loss; Insertion loss; Electronic engineering; Extremely high frequency; Substrate (aquarium); Waveguide filter; Network synthesis filters; Prototype filter; Optoelectronics; Computer science; Low-pass filter; Electrical engineering; Engineering; Telecommunications; Antenna (radio)","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":[0.000487223,0.0002493641,0.0002364619,0.0002509732,0.00007274737,0.00002673021,0.0000687258,0.0001695641,0.00002038362],"category_scores_gemma":[0.0000107643,0.0002470119,0.00006066381,0.0001441307,0.0001351382,0.0001149886,6.189616e-7,0.0002612887,0.000001355793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003575588,"about_ca_system_score_gemma":0.000009370006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003857352,"about_ca_topic_score_gemma":0.000005383381,"domain_scores_codex":[0.9991261,0.00009218571,0.0003018708,0.0002122123,0.00006942699,0.0001982158],"domain_scores_gemma":[0.9995132,0.0001384238,0.00003855528,0.0002027324,0.00003717347,0.00006992322],"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":[0.00001446947,0.00003297098,9.030546e-7,0.0000902851,0.00003930569,0.000003175031,0.0002072369,0.00009617781,0.9626038,0.006838887,0.00004838342,0.0300244],"study_design_scores_gemma":[0.0001144504,0.0001408517,0.000002719097,0.000190671,0.00003434681,0.0001095309,0.00009632893,0.00005630117,0.9903054,0.008196091,0.0005086188,0.0002447305],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09882825,0.0002936901,0.8953564,0.000006039772,0.00008751836,0.0002686185,0.00003201799,0.0004585309,0.004668976],"genre_scores_gemma":[0.9862422,0.0004068021,0.01309863,0.00002505475,0.00001076377,0.00005124483,0.000003219761,0.00004574223,0.000116336],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.887414,"threshold_uncertainty_score":0.9999982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01129867518552358,"score_gpt":0.2069470713028218,"score_spread":0.1956483961172983,"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."}}