{"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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.0004742944,0.0001894321,0.0001541171,0.0002871068,0.0008595653,0.001876979,0.001066769,0.00008303943,0.00001122026],"category_scores_gemma":[0.00002491548,0.0001646714,0.00004351981,0.001531826,0.0004055551,0.02098199,0.0006816802,0.0003994194,0.00001357983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002415724,"about_ca_system_score_gemma":0.0001578898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001417915,"about_ca_topic_score_gemma":8.616676e-7,"domain_scores_codex":[0.9982465,0.000009689534,0.0004005388,0.0003275031,0.0006029134,0.0004128533],"domain_scores_gemma":[0.9987978,0.00005912955,0.0001933267,0.0004407892,0.0003677721,0.0001412221],"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":[0.00001783073,0.0001601758,0.006404501,0.0001512388,0.00003184041,0.000005125167,0.02101673,0.003418477,0.00732005,0.3666587,0.005780487,0.5890349],"study_design_scores_gemma":[0.0005875327,0.0001101089,0.02207431,0.00002756516,0.000004675542,0.0001391368,0.00008134422,0.942817,0.004162246,0.001038277,0.02850338,0.0004544514],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4848391,0.00001524835,0.5121999,0.0002029995,0.00197856,0.000139273,0.00001460122,0.0001102434,0.0005000655],"genre_scores_gemma":[0.889529,0.00001592489,0.1091082,0.001055842,0.000259157,0.000001807591,0.00002562456,0.000003120139,0.000001322249],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9393985,"threshold_uncertainty_score":0.9991592,"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."}}