{"id":"W2909911312","doi":"10.1109/apusncursinrsm.2018.8608914","title":"A 60-GHz Gain Enhanced Vivaldi Antenna On-Chip","year":2018,"lang":"en","type":"article","venue":"","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Vivaldi antenna; Antenna (radio); Antenna efficiency; Radiation pattern; Antenna factor; Antenna measurement; Optics; Antenna gain; Antenna aperture; Materials science; Coaxial antenna; Optoelectronics; Physics; Electrical engineering; Engineering","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":[0.0001232952,0.0003027447,0.0004145461,0.0001915589,0.00007665266,0.0003556184,0.0005419341,0.0004026113,0.002684633],"category_scores_gemma":[0.0002075223,0.0001947335,0.0002632107,0.0002344477,0.0001235657,0.0002679239,0.0002355963,0.0003549827,0.001649131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003229823,"about_ca_system_score_gemma":0.0001685322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001824748,"about_ca_topic_score_gemma":0.0001937548,"domain_scores_codex":[0.9998851,0.00001129011,0.000003013611,0.00002610396,0.00005089997,0.00002360929],"domain_scores_gemma":[0.9999013,0.00001222984,0.00001507884,0.00002267495,0.0000352602,0.00001334272],"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":[0.0001965301,0.0000528184,0.0008920188,0.0001619166,0.00003449463,0.0002554303,0.00009075184,0.01050558,0.8911734,0.009433298,0.007726824,0.07947692],"study_design_scores_gemma":[0.0000625357,0.0007925736,0.003418647,0.00002105242,0.00007193231,0.003094272,0.00006235638,0.1310413,0.7251074,0.001445095,0.1347944,0.00008843446],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1911484,0.0005417494,0.7479962,0.000519437,0.0003404602,0.00008708134,0.0004036405,0.005528579,0.05343446],"genre_scores_gemma":[0.7396458,0.0003634271,0.2361273,0.0002408334,0.00006011867,0.0001025726,0.0006856786,0.0004259762,0.02234825],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002684633,"threshold_uncertainty_score":0.00898093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01293619148054106,"score_gpt":0.2238673275377238,"score_spread":0.2109311360571827,"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."}}