{"id":"W2189493495","doi":"","title":"RFID AUTHENTICATION SCHEME BASED ON DYNAMIC KEY GENERATION","year":2012,"lang":"en","type":"article","venue":"Library and Archives Canada (Government of Canada)","topic":"RFID technology advancements","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Key (lock); Computer science; Scheme (mathematics); Authentication (law); Computer security; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000064582,0.0001086093,0.00009225353,0.00002435152,0.00006301035,0.000005638901,0.00009368856,0.00002343446,0.00002561759],"category_scores_gemma":[0.000001986665,0.0001157363,0.000009515408,0.00005137032,0.00002570899,0.0002696201,0.00002189369,0.00008369666,9.295688e-9],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001355767,"about_ca_system_score_gemma":0.0001158241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004973054,"about_ca_topic_score_gemma":0.001320937,"domain_scores_codex":[0.9990141,0.00001332373,0.000139105,0.00009696522,0.0005300446,0.0002064536],"domain_scores_gemma":[0.999658,0.00003915436,0.00003830657,0.0001664311,2.106791e-7,0.00009790272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001133653,0.00008223182,0.06749468,0.0002301684,0.0001121742,0.00001130391,0.00008894931,0.01185138,0.77966,0.1191018,0.0013114,0.01994258],"study_design_scores_gemma":[0.0003405295,0.00003391013,0.06180553,0.00004302526,0.00001240768,0.000001400491,0.0001396591,0.5649623,0.3607217,0.0002750441,0.01141534,0.0002490774],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9053227,0.0003942979,0.005955542,0.001811501,0.0006642404,0.0002557687,0.0001083229,0.0001027217,0.08538492],"genre_scores_gemma":[0.9947535,0.00003075222,0.004187937,0.0003233308,0.00002815134,0.00001145299,0.00001773881,0.000017803,0.0006293363],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.553111,"threshold_uncertainty_score":0.4719588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00282381939277653,"score_gpt":0.1390635837185532,"score_spread":0.1362397643257766,"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."}}