{"id":"W2012152079","doi":"10.5539/cis.v3n3p56","title":"Grid Signature: High Performance Digital Signature Through Using Alchemi Grid Computing.","year":2010,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Cryptographic Implementations and Security","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Digital signature; Signature (topology); Cryptography; Grid; Hash function; Elliptic Curve Digital Signature Algorithm; Communication source; Grid computing; Cryptographic hash function; Distributed computing; Cryptographic primitive; Digital Signature Algorithm; Cryptographic protocol; Public-key cryptography; Algorithm; Elliptic curve cryptography; Computer security; Computer network; Encryption","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001377858,0.0004159271,0.0004518756,0.001072318,0.0008253633,0.002457688,0.001371355,0.0007854676,0.005207478],"category_scores_gemma":[0.002522374,0.0002268387,0.00040378,0.001368536,0.001313284,0.003434138,0.002021703,0.001177135,0.00234235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001180897,"about_ca_system_score_gemma":0.001206648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001030833,"about_ca_topic_score_gemma":0.000978738,"domain_scores_codex":[0.9978722,0.0004772109,0.0001409874,0.0002043724,0.001120905,0.0001842426],"domain_scores_gemma":[0.9980994,0.0002120421,0.0002132068,0.001049726,0.0003198188,0.0001057669],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001519792,0.0002237107,0.003292142,0.0004147519,0.000150526,0.0007029438,0.0006719978,0.01518313,0.07565545,0.4125233,0.03806322,0.4515991],"study_design_scores_gemma":[0.0003099647,0.000535827,0.00108623,0.00008178325,0.000106998,0.0017769,0.0002210119,0.2427298,0.262476,0.1432778,0.3472492,0.0001484847],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03639239,0.001144557,0.8942412,0.001713809,0.0005244302,0.0006322176,0.0005285551,0.0253249,0.03949806],"genre_scores_gemma":[0.5624492,0.0008438081,0.4053141,0.0007809931,0.0002129071,0.0003041685,0.001127398,0.0009892206,0.02797819],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005207478,"threshold_uncertainty_score":0.01742077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01053606590091772,"score_gpt":0.2542338164321151,"score_spread":0.2436977505311974,"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."}}