{"id":"W2080456737","doi":"10.1109/icc.2012.6363871","title":"Lightweight mutual RFID authentication","year":2012,"lang":"en","type":"article","venue":"","topic":"RFID technology advancements","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"McEliece cryptosystem; Computer science; Authentication (law); Cryptosystem; Mutual authentication; Computer security; Authentication protocol; Message authentication code; Encryption; Radio-frequency identification; Protocol (science); Computer network; Public-key cryptography; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00003695775,0.00005652456,0.00004467404,0.00004753289,0.00001813324,0.00000340548,0.00007304586,0.00005305852,0.0004241253],"category_scores_gemma":[0.000007126611,0.00005235132,0.00001136096,0.00007958817,0.00001442668,0.0001914137,0.00001492593,0.0000571132,0.001483865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002841409,"about_ca_system_score_gemma":0.000001030934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.074398e-7,"about_ca_topic_score_gemma":5.449774e-7,"domain_scores_codex":[0.9996393,0.000002606749,0.00007585743,0.0000468933,0.0000511798,0.0001841721],"domain_scores_gemma":[0.9997846,0.000007459417,0.00000647704,0.0001602389,0.000006747285,0.00003443381],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000008340607,0.0003018427,0.1162593,0.00009250591,0.0002693794,0.000003432487,0.001702095,0.0004023901,0.2785393,0.4715019,0.05593099,0.07498848],"study_design_scores_gemma":[0.0004242693,0.00002109986,0.03835234,0.00001000852,0.00002659512,0.00001282083,0.00007694888,0.007862093,0.5995727,0.002852404,0.3503752,0.0004135098],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8551552,0.0005657259,0.04865596,0.0001586955,0.001036329,0.0001357189,0.000001570543,0.002162522,0.09212829],"genre_scores_gemma":[0.9932112,0.0000153775,0.005293766,0.00002335358,0.00005717271,0.00001466948,0.000003799522,0.00001280103,0.001367907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4686496,"threshold_uncertainty_score":0.9992936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006379713621435862,"score_gpt":0.2070136732814708,"score_spread":0.2006339596600349,"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."}}