{"id":"W3184425585","doi":"10.18280/rces.080204","title":"Enhanced Dipole Antenna for RFID by Using Metamaterials","year":2021,"lang":"en","type":"article","venue":"Review of Computer Engineering Studies","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Direction Générale de la Recherche Scientifique et du Développement Technologique","keywords":"Directivity; Metamaterial; Radiation pattern; Antenna measurement; Acoustics; Dipole antenna; Miniaturization; Antenna (radio); Coaxial antenna; Omnidirectional antenna; Computer science; Physics; Antenna efficiency; Antenna gain; Loop antenna; Electronic engineering; Return loss; Bandwidth (computing); Electrical engineering; Optics; Engineering; Telecommunications","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":[0.0001627407,0.0003013331,0.0002678914,0.0002248121,0.0001046735,0.0004176316,0.0003769784,0.0006281387,0.001122659],"category_scores_gemma":[0.0002990091,0.0001572901,0.0004553181,0.0003092017,0.0001965266,0.0005658198,0.0003262311,0.0003602293,0.001096608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002027396,"about_ca_system_score_gemma":0.00008932344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003070114,"about_ca_topic_score_gemma":0.00007474588,"domain_scores_codex":[0.9998546,0.00004236662,0.000008108375,0.000029625,0.00004827009,0.00001705675],"domain_scores_gemma":[0.9998703,0.00004979739,0.00002468139,0.00002849515,0.00002110429,0.000005635601],"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":[0.0001371902,0.00003039549,0.0002957075,0.0003171031,0.00003494454,0.0002648441,0.00004762856,0.004065041,0.9202527,0.01256112,0.001105405,0.06088785],"study_design_scores_gemma":[0.00004070925,0.0005519366,0.001202718,0.00005925771,0.0001084245,0.002597675,0.00005918677,0.05204042,0.8627936,0.006079997,0.07441533,0.00005077976],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09420504,0.006719292,0.8783109,0.0008565091,0.0005252166,0.00005735562,0.0001042435,0.001408401,0.017813],"genre_scores_gemma":[0.6974161,0.003463292,0.2862983,0.0004054793,0.0001919397,0.00005798685,0.00009723016,0.0001202787,0.01194938],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001122659,"threshold_uncertainty_score":0.003755629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0242466060409517,"score_gpt":0.2766023196092363,"score_spread":0.2523557135682846,"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."}}