{"id":"W4229457970","doi":"10.18280/ts.390241","title":"Enhancement of Gain and Reduction of Backward Radiation Using Metasurface Antenna for Energy Harvesting Applications","year":2022,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Directivity; Antenna (radio); Antenna gain; HFSS; Radiation pattern; Radiation; Reduction (mathematics); Antenna efficiency; Optics; Antenna aperture; Electrical engineering; Acoustics; Computer science; Physics; Engineering; Microstrip antenna; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008919287,0.0002946283,0.0002379123,0.000132723,0.00006536103,0.0002564361,0.0002911157,0.0003542214,0.0009855762],"category_scores_gemma":[0.0001355264,0.0001098698,0.0005175726,0.0002422924,0.0001329112,0.0002999007,0.0002136191,0.000194585,0.0004404805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001567327,"about_ca_system_score_gemma":0.00008209364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006962322,"about_ca_topic_score_gemma":0.000145215,"domain_scores_codex":[0.9999413,0.000006145791,0.000002595147,0.000009962607,0.00002976382,0.00001012606],"domain_scores_gemma":[0.9999224,0.00002067364,0.00001528455,0.00001532445,0.00002222659,0.000004199359],"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":[0.00004807012,0.00001366457,0.0003060249,0.00006626924,0.00001121368,0.000125092,0.00002723767,0.003138551,0.9829414,0.001132834,0.0002634635,0.01192605],"study_design_scores_gemma":[0.00001582649,0.0003311959,0.001694668,0.00001624935,0.0000349577,0.0007102169,0.00004550629,0.05320835,0.9363307,0.00102756,0.006565207,0.00001955006],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7619489,0.00108694,0.2116937,0.0004549971,0.0001738708,0.00002631171,0.0001817138,0.0008831401,0.02355046],"genre_scores_gemma":[0.9700782,0.0004063737,0.02510114,0.00003822499,0.00001621185,0.00001560774,0.00007065044,0.00004272548,0.004230904],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009855762,"threshold_uncertainty_score":0.003297031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01846572650082563,"score_gpt":0.2243941264814324,"score_spread":0.2059283999806068,"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."}}