{"id":"W2237100638","doi":"10.1587/transinf.2015mup0008","title":"Application Authentication System with Efficiently Updatable Signature","year":2015,"lang":"en","type":"article","venue":"IEICE Transactions on Information and Systems","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Broadcasting (networking); Service provider; Authentication (law); Key (lock); Computer security; Computer network; Protocol (science); Service (business)","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":[0.0004000877,0.0001151513,0.0001145359,0.0002226413,0.0002123434,0.0004293532,0.0002441174,0.00007699657,0.000001086496],"category_scores_gemma":[0.000003319038,0.00009220104,0.00002288857,0.0005529532,0.00002772759,0.002402374,0.000004816056,0.0001276263,0.00008872253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005635633,"about_ca_system_score_gemma":0.00005503561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001289269,"about_ca_topic_score_gemma":0.00001061306,"domain_scores_codex":[0.9990072,0.00004844363,0.0002841018,0.0001644181,0.0003563088,0.0001395173],"domain_scores_gemma":[0.9990206,0.00003133273,0.0001452581,0.0004514199,0.0002080653,0.0001433675],"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":[0.0001043186,0.0001536513,0.00006800364,0.0004073249,0.00005252895,0.00000103703,0.007792263,0.03159038,0.00008010033,0.9361232,0.001011407,0.02261581],"study_design_scores_gemma":[0.001050422,0.0001830993,0.0001897834,0.00009919285,0.00002336647,0.00009705374,0.004972576,0.9394189,0.00016108,0.00007989824,0.05345659,0.0002680548],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001417621,0.00006737197,0.9954125,0.0001464853,0.0002963576,0.0004417296,0.00006508011,0.0002919718,0.001860827],"genre_scores_gemma":[0.9972336,0.000005868545,0.002466183,0.00007301089,0.00001637409,0.0001060928,0.00008150219,0.000003422254,0.00001389232],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9958161,"threshold_uncertainty_score":0.4140263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009401317934923107,"score_gpt":0.2091570370537573,"score_spread":0.1997557191188342,"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."}}