{"id":"W2121630519","doi":"10.1109/tmtt.2006.875809","title":"A new broadband monolithic passive differential coupler for K/ka-band applications","year":2006,"lang":"en","type":"article","venue":"IEEE Transactions on Microwave Theory and Techniques","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada; Queen's University","funders":"","keywords":"Return loss; Hybrid coupler; Insertion loss; Wideband; Broadband; Bandwidth (computing); Rat-race coupler; Amplifier; Monolithic microwave integrated circuit; Power dividers and directional couplers; Differential phase; Materials science; Extremely high frequency; Electrical engineering; Electronic engineering; Optoelectronics; Engineering; Optics; Physics; Telecommunications","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":[0.0001161571,0.0002633426,0.0002191525,0.0001691554,0.0001659942,0.00006109755,0.0001033705,0.0001727144,0.00004541165],"category_scores_gemma":[0.000001505021,0.0002606937,0.0001144504,0.0001120056,0.00006382725,0.00007794776,8.698109e-7,0.0002206114,0.000006076416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004597285,"about_ca_system_score_gemma":0.00001626045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002012347,"about_ca_topic_score_gemma":0.00001838081,"domain_scores_codex":[0.9991485,0.00002384939,0.0002474356,0.0002518231,0.00006484587,0.0002634882],"domain_scores_gemma":[0.9994613,0.0001641766,0.00002774316,0.0002275748,0.00003745911,0.00008175503],"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":[0.00007591135,0.00005330109,9.590947e-7,0.0001122796,0.00007545605,9.088731e-7,0.00008499137,0.001267078,0.9269725,0.007899723,0.002337767,0.06111913],"study_design_scores_gemma":[0.0003258023,0.00006551856,0.000008082877,0.00005358279,0.00007525714,0.00001812142,0.00001578999,0.0003247064,0.966877,0.0225131,0.009423224,0.0002998063],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02358677,0.0003821141,0.9734179,0.00002595545,0.0001223897,0.0006029674,0.00009870705,0.0008747214,0.0008884907],"genre_scores_gemma":[0.9887879,0.0002022347,0.008811612,0.00002753922,0.0001862284,0.0003731856,0.00001662958,0.0000681461,0.001526465],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9652012,"threshold_uncertainty_score":0.9999845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005574364767664779,"score_gpt":0.20966761429282,"score_spread":0.2040932495251552,"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."}}