{"id":"W2243756394","doi":"10.1049/el.2015.0948","title":"K‐band backward diplexer in substrate integrated waveguide technology","year":2015,"lang":"en","type":"article","venue":"Electronics Letters","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Diplexer; Bandwidth (computing); Return loss; Substrate (aquarium); Waveguide; Materials science; Optoelectronics; Insertion loss; Port (circuit theory); Electronic engineering; Optics; Physics; Telecommunications; Computer science; Engineering; 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":[],"consensus_categories":[],"category_scores_codex":[0.0001897796,0.0002351219,0.0002319427,0.0003582582,0.00001676379,0.00003288779,0.0002177367,0.0001428786,0.0000131223],"category_scores_gemma":[0.00003825969,0.0002421928,0.00004167514,0.0006081624,0.00004047504,0.0000875189,0.00001571852,0.0005267595,0.00006572447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000426361,"about_ca_system_score_gemma":0.00005712646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001832301,"about_ca_topic_score_gemma":0.00009950769,"domain_scores_codex":[0.9986486,0.00001612913,0.0002781346,0.0002179119,0.000118725,0.0007205321],"domain_scores_gemma":[0.9995667,0.00001767927,0.00001956876,0.0002655574,0.00002982859,0.0001006192],"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":[0.00002542767,0.00003831455,0.001638576,0.00005405349,0.0001143991,0.0001412799,0.0004626759,0.2677362,0.6849369,0.002303055,0.04050378,0.002045429],"study_design_scores_gemma":[0.002777698,0.0002232148,0.000945134,0.0001584796,0.00003895403,0.0001797333,0.0002225885,0.1364657,0.5905913,0.002965699,0.2637354,0.001696162],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9817995,0.00231973,0.01186761,0.0009535854,0.000327833,0.0001210556,0.000003669047,0.0006526544,0.001954291],"genre_scores_gemma":[0.9985679,0.000101871,0.0008965395,0.000154864,0.00006774232,0.00001891001,0.00002128759,0.00006313281,0.0001078006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2232316,"threshold_uncertainty_score":0.9876337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008882613412380115,"score_gpt":0.1968998022474327,"score_spread":0.1880171888350526,"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."}}