{"id":"W2093900139","doi":"10.1049/el.2014.3075","title":"Chipless RFID tag using RF MEMS switch","year":2014,"lang":"en","type":"article","venue":"Electronics Letters","topic":"RFID technology advancements","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Chipless RFID; Microelectromechanical systems; RF switch; Radio frequency; Crossover switch; Electrical engineering; Electronic engineering; Computer science; Optical switch; Engineering; Materials science; Optoelectronics; Resonator","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001266895,0.000190023,0.0001755276,0.0001170927,0.00007657951,0.00002072945,0.0002822497,0.00009899728,0.00002287693],"category_scores_gemma":[0.00001695542,0.0002176493,0.00004344692,0.000216141,0.00003887614,0.0001254574,0.00003449162,0.000410597,0.00005658182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002718982,"about_ca_system_score_gemma":0.00001123031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004206712,"about_ca_topic_score_gemma":0.00001473382,"domain_scores_codex":[0.998814,0.000009915338,0.0001763547,0.0002154161,0.0001440576,0.0006402211],"domain_scores_gemma":[0.999512,0.00002393573,0.00003445241,0.000375523,0.00001120081,0.00004292466],"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":[0.000003230565,0.000009005461,0.0008008427,0.00001977847,0.00006546993,0.000003439539,0.00003184053,0.04738662,0.9443985,0.001431588,0.000986507,0.004863234],"study_design_scores_gemma":[0.001358084,0.00009333513,0.0007261385,0.00005006418,0.00006475862,0.00005219255,0.00001577429,0.1376899,0.6906719,0.002954131,0.1652351,0.001088709],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9038647,0.0004487616,0.0934155,0.0006235387,0.0003519103,0.0001115328,0.000001081013,0.0006363431,0.0005466816],"genre_scores_gemma":[0.9966844,0.0000487276,0.002224747,0.0008187423,0.0001133165,0.00001451184,0.000006912247,0.00006785268,0.00002073583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2537266,"threshold_uncertainty_score":0.887548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00551725055680407,"score_gpt":0.2016317056287519,"score_spread":0.1961144550719478,"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."}}