{"id":"W2100695230","doi":"10.1007/978-3-642-25286-0_9","title":"BUPLE: Securing Passive RFID Communication through Physical Layer Enhancements","year":2012,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"RFID technology advancements","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Eavesdropping; Computer science; Physical layer; Computer network; Relay; Exploit; Channel (broadcasting); Transmission (telecommunications); Computer security; Telecommunications; Wireless","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001459296,0.0004247494,0.0003800725,0.0002362938,0.0001545916,0.00006104182,0.00129566,0.0002885612,0.00005775338],"category_scores_gemma":[0.00002355426,0.0004349981,0.00006236475,0.0002538089,0.0004974584,0.0005485594,0.0006228828,0.0009928667,0.0001074483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005220523,"about_ca_system_score_gemma":0.00003701085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000682192,"about_ca_topic_score_gemma":0.00002011851,"domain_scores_codex":[0.9981302,0.00001302133,0.0003046393,0.0005223423,0.0004553702,0.0005744006],"domain_scores_gemma":[0.9984707,0.0001437698,0.0001257808,0.001117819,0.00008046506,0.00006142871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000006227871,0.00007077309,0.0001706836,0.0001265336,0.00008491736,0.00001828171,0.002128209,0.1263872,0.005539874,0.01538929,0.00004321966,0.8500348],"study_design_scores_gemma":[0.001204116,0.0001987243,0.0004901996,0.001787252,0.00008560528,0.00005164044,0.000001728196,0.3502952,0.1767929,0.4290621,0.03720795,0.002822539],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004844888,0.001671717,0.9875384,0.0001065486,0.0009993877,0.0003597224,0.000007882417,0.0003865254,0.004084912],"genre_scores_gemma":[0.9211274,0.0003711632,0.07779398,0.0001979677,0.0002978057,0.00003098494,0.00001742076,0.00006632211,0.00009698779],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9162825,"threshold_uncertainty_score":0.9998102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01456824359857553,"score_gpt":0.2565164224738469,"score_spread":0.2419481788752714,"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."}}