{"id":"W2112383582","doi":"10.1109/icita.2005.62","title":"An Efficient Authentication Scheme with Fault Tolerance for Database Systems","year":2005,"lang":"en","type":"article","venue":"","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Computer science; Authentication (law); Checksum; Scheme (mathematics); Fault tolerance; Overhead (engineering); Digital signature; Data integrity; Computer network; Data Authentication Algorithm; Message authentication code; Error detection and correction; Authentication protocol; Database; Computer security; Cryptography; Distributed computing; Hash function; Operating system; Algorithm","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":[0.0002284412,0.00008636559,0.00008210869,0.00005623357,0.0001156987,0.0001914759,0.0005345297,0.00002371665,0.000005898387],"category_scores_gemma":[0.000006599239,0.00006495487,0.00002370658,0.0002372748,0.0000275197,0.0006259161,0.00004438173,0.00004196912,0.00001745639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001231518,"about_ca_system_score_gemma":0.00002530538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003059706,"about_ca_topic_score_gemma":0.00003027009,"domain_scores_codex":[0.9991283,0.00001839337,0.0001337032,0.0003526859,0.0001825203,0.0001843466],"domain_scores_gemma":[0.9989128,0.00003185234,0.00004818075,0.0008254805,0.00008982555,0.00009182],"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":[0.00001988328,0.0002877609,0.0001271933,0.00003341361,0.000006920435,6.068132e-7,0.0004378262,0.003566575,0.002186237,0.9903312,0.000707839,0.002294566],"study_design_scores_gemma":[0.0003545346,0.00007496903,0.0001848843,0.00001770657,0.000003659118,0.000005592931,0.0000467639,0.9845793,0.00146334,0.00007706892,0.01306455,0.0001276237],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08779071,0.00008918122,0.9110005,0.0002290281,0.00009281885,0.0003152798,0.00004603728,0.0001666032,0.0002697947],"genre_scores_gemma":[0.6982994,0.00000166723,0.3014274,0.0001008018,0.00006453552,0.000043298,0.00004922126,0.000003268745,0.00001043513],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9902541,"threshold_uncertainty_score":0.2648783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01325398785417857,"score_gpt":0.2613737850777717,"score_spread":0.2481197972235931,"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."}}