{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001625897,0.00009040338,0.00008369126,0.00005826787,0.0001081928,0.00008936816,0.0002856433,0.00003697667,0.00001391585],"category_scores_gemma":[0.00003442223,0.00008609199,0.00003440729,0.0001183798,0.00002190549,0.0003016969,0.0001503989,0.00003854564,0.00001768602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002454016,"about_ca_system_score_gemma":0.00000928977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003890657,"about_ca_topic_score_gemma":0.00005125226,"domain_scores_codex":[0.9991454,0.00001869652,0.0001933038,0.0003316142,0.0001347415,0.0001762217],"domain_scores_gemma":[0.9993077,0.0001299932,0.00006066677,0.0003965886,0.00006494758,0.00004010758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000009862883,0.00007474925,0.002650676,0.00004448361,0.000008633741,6.592776e-7,0.0002248876,0.000008288502,0.0001853684,0.9609097,0.001642948,0.03423981],"study_design_scores_gemma":[0.001614004,0.0001844471,0.02218759,0.00002561314,0.00001967206,0.000005748524,0.00006936683,0.2377834,0.01558499,0.6422573,0.07986572,0.0004021401],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003026435,0.00001531075,0.9881966,0.0009280356,0.000128105,0.003235282,0.000002539097,0.0001565963,0.004311106],"genre_scores_gemma":[0.6679878,0.000002175141,0.3251781,0.0002064309,0.00003694844,0.002201881,0.00000674813,0.000006339824,0.004373597],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6649613,"threshold_uncertainty_score":0.3510729,"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."}}