{"id":"W2597322144","doi":"10.22215/etd/2017-11746","title":"Design of GaN-based Microwave Components and Application to Novel High Power Reconfigurable Antennas","year":2017,"lang":"en","type":"preprint","venue":"","topic":"Radio Frequency Integrated Circuit Design","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Varicap; Diode; Gallium nitride; SIGNAL (programming language); Optoelectronics; Materials science; Capacitance; RF switch; Large-signal model; Equivalent circuit; Radio frequency; Microwave; Electronic engineering; Electrical engineering; Electronic circuit; Small-signal model; Voltage; Power (physics); Engineering; Computer science; Electrode; Telecommunications; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001310837,0.0002677929,0.0001374692,0.0001314086,0.00009786134,0.0006340952,0.0004656026,0.0003359246,0.001687119],"category_scores_gemma":[0.0001662118,0.0001701287,0.000301282,0.0001406249,0.0001194027,0.0003049643,0.0001206986,0.0001935183,0.0006966408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005526527,"about_ca_system_score_gemma":0.0002100797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005490975,"about_ca_topic_score_gemma":0.001556221,"domain_scores_codex":[0.9999188,0.00001012178,0.000002935652,0.0000169611,0.00003753136,0.00001358583],"domain_scores_gemma":[0.9999224,0.00001356967,0.00002038469,0.00001128593,0.00002629704,0.000006019638],"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":[0.00009912656,0.00005233794,0.001496985,0.0004504438,0.00007690576,0.0003148977,0.0001412685,0.05866729,0.8439409,0.02213689,0.003400661,0.06922237],"study_design_scores_gemma":[0.00004185422,0.0007202612,0.005321272,0.00006589757,0.00008379267,0.000909194,0.00008426017,0.3387126,0.5224255,0.003085993,0.1284949,0.00005448662],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3827032,0.004558485,0.5236782,0.00117212,0.000648568,0.0002134365,0.0004232433,0.001546012,0.08505678],"genre_scores_gemma":[0.8707488,0.002001696,0.09669828,0.0001159475,0.00006370946,0.00009138953,0.000196713,0.0001167218,0.0299666],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001687119,"threshold_uncertainty_score":0.005643964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03090221508402764,"score_gpt":0.2341533294912084,"score_spread":0.2032511144071808,"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."}}