{"id":"W2156818903","doi":"10.1109/itng.2006.84","title":"Key Management and Mutual Authentication for Multiple Field Records Smart Cards","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced Authentication Protocols Security","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Smart card; Computer security; Computer science; Mutual authentication; Password; Authentication (law); Encryption; Personally identifiable information; Key (lock); Key management; Multi-factor authentication; Internet privacy; Authentication protocol","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":[0.003702969,0.0005200536,0.001038155,0.001225757,0.001677956,0.002252054,0.001664259,0.001502286,0.003914779],"category_scores_gemma":[0.007324848,0.0004009922,0.0006785202,0.001415241,0.001562799,0.00669757,0.003371688,0.001223181,0.002241024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001192974,"about_ca_system_score_gemma":0.001349419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004056277,"about_ca_topic_score_gemma":0.0003379205,"domain_scores_codex":[0.9939857,0.0020035,0.0007698984,0.0006211077,0.002035563,0.0005843228],"domain_scores_gemma":[0.9951567,0.001375725,0.0007552377,0.001737143,0.0007918489,0.0001832642],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001276863,0.0001478871,0.001160965,0.0005039318,0.00009904381,0.0009425583,0.001323233,0.02135264,0.0311822,0.6200949,0.01103437,0.3108813],"study_design_scores_gemma":[0.0004531021,0.001046169,0.001440321,0.0002617675,0.0002165515,0.003621696,0.0004649855,0.4683024,0.06094243,0.2960648,0.1668258,0.0003599974],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01343689,0.001256678,0.9770247,0.0004277071,0.0001994419,0.0003866243,0.00009679246,0.001027478,0.006143697],"genre_scores_gemma":[0.613205,0.001315491,0.3659751,0.0002181768,0.0004078698,0.0009482963,0.0004086001,0.00009336117,0.01742815],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003914779,"threshold_uncertainty_score":0.0195834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01151554399758703,"score_gpt":0.2621937045535421,"score_spread":0.2506781605559551,"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."}}