{"id":"W4231727264","doi":"10.32920/ryerson.14647833.v1","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); Field-programmable gate array; Radio-frequency identification; Encryption; Identification (biology); Computer security; Authentication (law); Threat model; Security analysis; Embedded system; Authentication protocol; Symmetric-key algorithm; Computer network; Cryptography; Public-key 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007823988,0.00019717,0.0002195654,0.00007929253,0.00003011794,0.00006123743,0.000121264,0.0003634602,0.00008170373],"category_scores_gemma":[0.00003703441,0.0002194255,0.00002887745,0.0000716259,0.00002679007,0.0001071585,0.0003526532,0.0005546432,0.000005315764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006871355,"about_ca_system_score_gemma":0.00001778882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003228931,"about_ca_topic_score_gemma":0.000009849774,"domain_scores_codex":[0.9992036,0.00001439423,0.0002167655,0.0002976724,0.00009835364,0.0001692001],"domain_scores_gemma":[0.9994707,0.00001903236,0.00003751839,0.0003935812,0.00004795647,0.00003126279],"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":[0.00001276917,0.00005541014,0.00576759,0.003989993,0.00019519,0.00002431287,0.0004587533,0.9611168,0.001403728,0.0007625647,0.00008460418,0.02612831],"study_design_scores_gemma":[0.000414866,0.00002025537,0.001481444,0.0006829518,0.00001580325,0.000003744232,0.00004871598,0.9642307,0.01552677,0.01038231,0.006670298,0.0005221185],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6237071,0.0008551092,0.2197181,0.000135587,0.0005986744,0.1347211,0.00002164617,0.006133539,0.01410913],"genre_scores_gemma":[0.9525443,0.00002284637,0.01020582,0.00001697323,0.00003766586,0.03706005,0.00002802956,0.00004108236,0.00004317137],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3288372,"threshold_uncertainty_score":0.8947912,"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."}}