{"id":"W4293863106","doi":"10.1109/siu55565.2022.9864982","title":"Modelling of THz Band Graphene Based Reconfigurable Intelligent Surfaces with High Directivity","year":2022,"lang":"en","type":"article","venue":"2022 30th Signal Processing and Communications Applications Conference (SIU)","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Stantec (Canada)","funders":"","keywords":"Terahertz radiation; Directivity; Reflection (computer programming); Materials science; Electrical impedance; Microwave; Path loss; Computer science; Graphene; Surface wave; Acoustics; Optoelectronics; Electronic engineering; Optics; Electrical engineering; Antenna (radio); Telecommunications; Engineering; Physics; Nanotechnology; Wireless","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":[0.00009740793,0.0003334847,0.0002206872,0.0003043985,0.0002090397,0.0006319703,0.0005363551,0.0009556863,0.002375185],"category_scores_gemma":[0.0003016114,0.0002459079,0.0004070101,0.0003152583,0.0003390918,0.0003591632,0.0001929876,0.0002050798,0.0003524458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004432651,"about_ca_system_score_gemma":0.0003244043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001955998,"about_ca_topic_score_gemma":0.001573729,"domain_scores_codex":[0.9999292,0.00000989605,0.00000174738,0.00001191635,0.00002832343,0.00001883617],"domain_scores_gemma":[0.9999007,0.00004027204,0.00001491223,0.00001436712,0.00002214287,0.00000757393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007316262,0.00004872264,0.00123831,0.0001469157,0.00002321871,0.0004964899,0.0001252768,0.9132283,0.06931212,0.009638605,0.0005587711,0.005110161],"study_design_scores_gemma":[0.000008291086,0.00004333894,0.00059907,0.000007863734,0.000007893291,0.00006363877,0.00004533529,0.9902339,0.007061167,0.0007016403,0.00121629,0.00001167045],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8783451,0.0006866682,0.06272559,0.000327075,0.00007063639,0.00006490329,0.0004877347,0.0002852264,0.05700692],"genre_scores_gemma":[0.9833673,0.000254249,0.01054626,0.00001755538,0.000004253036,0.00005142429,0.0001169518,0.00003422723,0.005607887],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002375185,"threshold_uncertainty_score":0.007945776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03651448293165634,"score_gpt":0.2375446283907156,"score_spread":0.2010301454590592,"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."}}