{"id":"W4399039509","doi":"10.1109/ispa59904.2024.10536807","title":"A High Gain Circularly Polarized Passive RFID Tag on a Metallic Reflector for UHF Band Applications","year":2024,"lang":"en","type":"article","venue":"","topic":"RFID technology advancements","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Ultra high frequency; Optics; Reflector (photography); Impedance matching; Antenna measurement; Slot antenna; STRIPS; Antenna (radio); Antenna gain; Physics; Electrical impedance; Electrical engineering; Optoelectronics; Materials science; Engineering; Antenna factor","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":[0.00006067276,0.0001655259,0.0001752531,0.0002158274,0.00005754273,0.00004927018,0.0001690791,0.0001308184,0.0001223503],"category_scores_gemma":[0.00002549469,0.0001546225,0.00007919769,0.0003692887,0.0000273011,0.0001174094,0.00001495533,0.0001877889,0.0002012168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001346553,"about_ca_system_score_gemma":0.00001714826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008719502,"about_ca_topic_score_gemma":0.00001425945,"domain_scores_codex":[0.9991691,0.000007935295,0.0001834968,0.0002831009,0.0001001946,0.0002562181],"domain_scores_gemma":[0.9994668,0.00009887505,0.00001481163,0.0003444725,0.00002868927,0.00004639739],"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":[0.00001080653,0.00003449191,0.000007906005,0.00012582,0.0003813861,0.000007708343,0.0000320894,0.0002363143,0.8389388,0.1543264,0.001098165,0.004800176],"study_design_scores_gemma":[0.002234054,0.0002973334,0.00009682103,0.0001190036,0.0002821888,0.00001964528,0.00006027876,0.02518759,0.4613483,0.08433942,0.4250341,0.0009812473],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008309243,0.0006277776,0.9849765,0.0006718656,0.0002798825,0.001162,0.00007974362,0.002171759,0.001721224],"genre_scores_gemma":[0.9760338,0.00004774054,0.02010714,0.0001425682,0.00007767616,0.002377669,0.00005823641,0.00007043472,0.001084706],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9677246,"threshold_uncertainty_score":0.630532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01092828103861224,"score_gpt":0.2578807838652912,"score_spread":0.246952502826679,"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."}}