{"id":"W4240498039","doi":"10.32920/ryerson.14647833","title":"RFID security protocols simulation and prototyping","year":2021,"lang":"en","type":"preprint","venue":"","topic":"RFID technology advancements","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Protocol (science); SystemC; Cryptographic protocol; Key (lock); Radio-frequency identification; Field-programmable gate array; Encryption; Identification (biology); Computer security; Authentication (law); Security analysis; Threat model; Embedded system; Authentication protocol; Computer network; Cryptography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009080531,0.0005100063,0.0004304789,0.0004830972,0.0005321106,0.0009439992,0.001128779,0.0008775875,0.008137361],"category_scores_gemma":[0.002361058,0.0002949408,0.0007460169,0.0004002996,0.0004941353,0.00102197,0.0006982553,0.000925235,0.001385681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005326074,"about_ca_system_score_gemma":0.0008852049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002084954,"about_ca_topic_score_gemma":0.001033749,"domain_scores_codex":[0.9991353,0.0002673918,0.00005715372,0.00009935897,0.0003286903,0.0001120585],"domain_scores_gemma":[0.9986842,0.0006771262,0.00006945877,0.000253903,0.0002826825,0.0000327354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001764764,0.0001542105,0.001342705,0.0003645548,0.00004297064,0.0004767739,0.0002932081,0.8190467,0.01703186,0.1254141,0.002857536,0.03279888],"study_design_scores_gemma":[0.00003575922,0.00008259178,0.0001429328,0.00002670183,0.00001801791,0.0001264385,0.00003736699,0.9640602,0.01254531,0.00927682,0.01363132,0.0000165324],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1150029,0.0005765161,0.8128549,0.000573592,0.0002596746,0.000783012,0.0008185584,0.003418337,0.06571243],"genre_scores_gemma":[0.688328,0.00108123,0.2832974,0.0001186995,0.00003807744,0.001251654,0.000790317,0.0003257397,0.02476896],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008137361,"threshold_uncertainty_score":0.02722222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02226296458408593,"score_gpt":0.3137953210768178,"score_spread":0.2915323564927319,"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."}}