{"id":"W3044968529","doi":"10.1109/lawp.2020.3010865","title":"High-Gain On-Chip Antenna Design on Silicon Layer With Aperture Excitation for Terahertz Applications","year":2020,"lang":"en","type":"article","venue":"IEEE Antennas and Wireless Propagation Letters","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":127,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"Agencia Estatal de Investigación; Horizon 2020 Framework Programme; Engineering and Physical Sciences Research Council; Ministerio de Ciencia, Innovación y Universidades","keywords":"Materials science; Terahertz radiation; Antenna (radio); Optoelectronics; Microstrip; Microstrip antenna; Optics; Silicon; Radiation pattern; Antenna efficiency; Slot antenna; Electrical engineering; Physics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008443687,0.0002395668,0.0001975944,0.00008358862,0.0001053351,0.00007086998,0.00008566504,0.00007213181,0.000003194014],"category_scores_gemma":[0.00001479193,0.0001966915,0.0000400614,0.0001579093,0.00003713501,0.0001122737,0.0000037223,0.000159979,0.00001562842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002901984,"about_ca_system_score_gemma":0.000008124995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003384075,"about_ca_topic_score_gemma":0.000001193813,"domain_scores_codex":[0.9991177,0.00002286456,0.0002016672,0.0003052907,0.0001287642,0.0002237624],"domain_scores_gemma":[0.999496,0.0001689884,0.00004447894,0.0001424512,0.00004850986,0.00009952764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001328499,0.00002326505,0.00002078197,0.000195826,0.00005725671,0.000004637216,0.0003828374,0.04567488,0.9445621,0.0009841421,0.002807081,0.00515428],"study_design_scores_gemma":[0.001651243,0.000609728,0.0006355961,0.0002751064,0.00004514442,0.000009706489,0.0001225733,0.8929228,0.09914266,0.0001163536,0.003744017,0.0007250295],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2474803,0.00003804571,0.7479087,0.003522209,0.00007537663,0.0006813003,0.00002396145,0.0002521035,0.00001793554],"genre_scores_gemma":[0.992186,0.00004126248,0.00249253,0.004571721,0.0002685956,0.0003011729,0.00005049075,0.00006696194,0.00002134008],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.847248,"threshold_uncertainty_score":0.8020847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01877711002865564,"score_gpt":0.2062108254921856,"score_spread":0.1874337154635299,"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."}}