{"id":"W2027444197","doi":"10.1002/mop.27712","title":"Design and Optimization of A Broadband X‐Band Bidirectional Amplifier","year":2013,"lang":"en","type":"article","venue":"Microwave and Optical Technology Letters","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Fundação para a Ciência e a Tecnologia","keywords":"Broadband; Amplifier; Electronic engineering; Microwave; Particle swarm optimization; Microstrip; Bandwidth (computing); Engineering; Computer science; Electrical engineering; Telecommunications; CMOS","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001862979,0.0004046271,0.0002729958,0.0001492367,0.0001995494,0.0004249733,0.0005245204,0.0003684886,0.001180767],"category_scores_gemma":[0.0001627442,0.0002747173,0.0002697766,0.0001379929,0.0001917815,0.000219341,0.0002713987,0.0002032288,0.0003926851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000346158,"about_ca_system_score_gemma":0.0003966796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000705982,"about_ca_topic_score_gemma":0.000892539,"domain_scores_codex":[0.9998865,0.00001517788,0.000003762033,0.00002638155,0.00004606375,0.00002210053],"domain_scores_gemma":[0.9999239,0.00001389172,0.00002689365,0.000006312472,0.00002091166,0.000008012449],"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":[0.0002199348,0.00007676402,0.001134732,0.0001779383,0.00009187256,0.0001986462,0.00008630044,0.09190592,0.8572487,0.005807386,0.0004100947,0.0426418],"study_design_scores_gemma":[0.0001078954,0.0008851701,0.002234071,0.0000226726,0.0001557322,0.0003097649,0.0000745892,0.7585949,0.2281158,0.0007447026,0.008721731,0.00003304788],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3604664,0.0005849662,0.6247911,0.0001985709,0.0000569906,0.0001281329,0.00007730805,0.0005508816,0.01314549],"genre_scores_gemma":[0.8947519,0.0001928644,0.1015767,0.00002677357,0.00001455329,0.00009109028,0.00003535632,0.00002808735,0.0032827],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001180767,"threshold_uncertainty_score":0.003950059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007088451257719992,"score_gpt":0.182726221775827,"score_spread":0.175637770518107,"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."}}