{"id":"W2113651500","doi":"10.4218/etrij.16.0115.0630","title":"Message Expansion of Homomorphic Encryption Using Product Pairing","year":2015,"lang":"en","type":"article","venue":"ETRI Journal","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Homomorphic encryption; Plaintext; Pairing; Encryption; Computer science; Cryptosystem; Theoretical computer science; Scheme (mathematics); Product (mathematics); Group (periodic table); Mathematics; Computer security; Physics","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":[0.001309354,0.00008137876,0.0001354918,0.0002438755,0.0001183233,0.0001178452,0.0004471442,0.00003329769,0.00001124625],"category_scores_gemma":[0.0001488212,0.00007041166,0.00007378976,0.0005695125,0.00003632741,0.0008151997,0.000141357,0.0002463328,0.000006172988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003558719,"about_ca_system_score_gemma":0.0001500675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002132589,"about_ca_topic_score_gemma":0.000001817056,"domain_scores_codex":[0.998856,0.0001156289,0.0002573791,0.0001666177,0.0004286464,0.0001757133],"domain_scores_gemma":[0.9991021,0.0000283006,0.0001996115,0.0003160915,0.0002035705,0.0001503247],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003680422,0.001621617,0.06325053,0.0003192828,0.0002805494,0.001005371,0.05266167,0.005559189,0.3934043,0.1149217,0.02716893,0.3394387],"study_design_scores_gemma":[0.01271406,0.002741995,0.05955544,0.002105398,0.0002482009,0.01421591,0.005527772,0.1631942,0.3972694,0.3071039,0.03202236,0.003301274],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.542629,0.000882213,0.4555903,0.0001224966,0.000573213,0.00004589488,0.000001347595,0.00004046363,0.0001150672],"genre_scores_gemma":[0.9304308,0.00004669004,0.06928916,0.00002163728,0.0002039115,2.325057e-7,6.388776e-7,0.000005150108,0.000001779928],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3878018,"threshold_uncertainty_score":0.2871304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07411779103717338,"score_gpt":0.2842211634866755,"score_spread":0.2101033724495022,"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."}}