{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001904903,0.0003868736,0.0004755582,0.0003680121,0.0002733568,0.0007007198,0.0013316,0.001081921,0.002490771],"category_scores_gemma":[0.0001862815,0.0002320043,0.0004186753,0.0003953115,0.0002552402,0.001008602,0.0005485119,0.0004091382,0.001668686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003066027,"about_ca_system_score_gemma":0.0001719186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001254813,"about_ca_topic_score_gemma":0.0001534883,"domain_scores_codex":[0.9996691,0.00003209992,0.00002203428,0.00008682226,0.0001474927,0.0000424918],"domain_scores_gemma":[0.9998295,0.00003355978,0.00002917833,0.00004146634,0.00004732833,0.00001892722],"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":[0.00015645,0.0000681538,0.0006075907,0.0002217764,0.00004319952,0.0004899026,0.00006641356,0.0006991678,0.9406544,0.005457803,0.003423348,0.04811179],"study_design_scores_gemma":[0.0001010035,0.0008331174,0.00235764,0.00003490513,0.0001534429,0.003697848,0.00003898475,0.02159775,0.901416,0.00139015,0.06829201,0.00008712583],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3713262,0.01015948,0.560354,0.001367378,0.003697981,0.0002908234,0.0005709975,0.008037293,0.04419577],"genre_scores_gemma":[0.8407172,0.002071416,0.130219,0.001044824,0.0005057742,0.0001293383,0.0003757618,0.000108268,0.02482842],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002490771,"threshold_uncertainty_score":0.008332431,"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."}}