{"id":"W2240825472","doi":"10.1109/rfid-ta.2015.7379802","title":"Experimental performance evaluation of passive UHF RFID systems under interference","year":2015,"lang":"en","type":"article","venue":"","topic":"RFID technology advancements","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Federation for the Humanities and Social Sciences","keywords":"Ultra high frequency; EMI; Interference (communication); Electromagnetic interference; Radio-frequency identification; Computer science; Electronic engineering; Radio frequency; Power (physics); SIGNAL (programming language); Electrical engineering; Telecommunications; Engineering; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.001039115,0.0007496154,0.0006162093,0.0005959654,0.00046509,0.0005794565,0.00104394,0.001089849,0.002073201],"category_scores_gemma":[0.003575947,0.0002507848,0.0003610364,0.0006130449,0.0005015212,0.0009109141,0.0006157673,0.0004540743,0.0008299553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003753377,"about_ca_system_score_gemma":0.0001961391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004298433,"about_ca_topic_score_gemma":0.0002559501,"domain_scores_codex":[0.9985148,0.0002314498,0.0002161744,0.000287359,0.0005330032,0.0002171606],"domain_scores_gemma":[0.9954931,0.001591921,0.0005294086,0.0005584542,0.001678098,0.0001489874],"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":[0.001970971,0.0007648635,0.003261722,0.0006610237,0.00007443515,0.0004188269,0.0004888558,0.01569438,0.9457835,0.0005508701,0.0005155832,0.02981495],"study_design_scores_gemma":[0.00008797518,0.009566876,0.006700131,0.00004448359,0.00009639035,0.0005372983,0.0003697218,0.02887093,0.9514745,0.0002126938,0.001984504,0.00005432998],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9751438,0.0003762191,0.02158924,0.00008245873,0.0001050059,0.0001091708,0.0002350586,0.000431076,0.001928028],"genre_scores_gemma":[0.9907162,0.0002590079,0.006725952,0.00006077075,0.00003050763,0.00008910846,0.0002496676,0.00003774662,0.001831048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002073201,"threshold_uncertainty_score":0.006935537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05853851005124247,"score_gpt":0.2958480124315619,"score_spread":0.2373095023803194,"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."}}