{"id":"W4362721046","doi":"10.1002/spe.3206","title":"EdgeAuth: An intelligent token‐based collaborative authentication scheme","year":2023,"lang":"en","type":"article","venue":"Software Practice and Experience","topic":"User Authentication and Security Systems","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"National Key Research and Development Program of China; College of Engineering and Applied Science, University of Wyoming; University of Colorado Boulder; National Natural Science Foundation of China","keywords":"Server; Computer science; Cloud computing; Security token; Computer network; Edge computing; Authentication (law); Enhanced Data Rates for GSM Evolution; Authentication server; The Internet; Computer security; Operating system; Telecommunications","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":[0.0005867456,0.0001434688,0.0001329158,0.0001449016,0.0003060067,0.000463494,0.0005559704,0.00006753726,0.00002168024],"category_scores_gemma":[0.001139,0.0001383982,0.0000272698,0.001171098,0.0001014679,0.002369751,0.0001526683,0.0001190848,0.0003187977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003185715,"about_ca_system_score_gemma":0.0001369126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003581158,"about_ca_topic_score_gemma":0.000006533615,"domain_scores_codex":[0.9983536,0.0002212544,0.0002650808,0.0005108867,0.0003802512,0.0002689286],"domain_scores_gemma":[0.9982433,0.0004085283,0.0001560626,0.0006480111,0.0003502226,0.0001939055],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004994077,0.0004201514,0.002383923,0.00006896642,0.00003382849,0.00003903225,0.9009497,0.0000109199,0.00303732,0.05724452,0.001440693,0.03432103],"study_design_scores_gemma":[0.001060401,0.0006225891,0.00674108,0.0001493337,0.00004200442,0.00007360171,0.08045538,0.5270947,0.01718716,0.005410951,0.359786,0.001376773],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4150878,0.000572092,0.5703954,0.009429612,0.001310022,0.0008000484,0.00001204572,0.001961316,0.0004317096],"genre_scores_gemma":[0.9707447,0.00008453651,0.02770302,0.001029817,0.0000484885,0.0001445956,0.00001931656,0.00001125797,0.0002143238],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8204943,"threshold_uncertainty_score":0.5643714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03183611125330991,"score_gpt":0.3350754871527458,"score_spread":0.3032393758994359,"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."}}