{"id":"W1804630428","doi":"10.1007/978-3-642-15317-4_27","title":"Distributed Private-Key Generators for Identity-Based Cryptography","year":2010,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":95,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Random oracle; Computer science; Encryption; Scheme (mathematics); Key escrow; Key (lock); Public-key cryptography; Computer security; Protocol (science); Cryptography; Cryptosystem; Identity (music); Theoretical computer science; Mathematics","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":["metaepi_narrow","scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.001179317,0.0007343867,0.000651855,0.001468837,0.0006377083,0.001432247,0.005624794,0.0006496898,0.0000238131],"category_scores_gemma":[0.0001433982,0.0007022349,0.0004668519,0.001649811,0.001183328,0.001381993,0.001163403,0.00119408,0.00001600241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001106298,"about_ca_system_score_gemma":0.0005554474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001294329,"about_ca_topic_score_gemma":0.0002421503,"domain_scores_codex":[0.9951261,0.00003547354,0.0006719545,0.002047566,0.001165875,0.0009530509],"domain_scores_gemma":[0.9959195,0.0005509512,0.0004056277,0.002351017,0.0004295286,0.0003433753],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001225549,0.00006675381,0.000153934,0.00007027156,0.00001817456,0.00002593785,0.0001282741,0.001652794,0.0006228006,0.9435955,0.00004687863,0.05360638],"study_design_scores_gemma":[0.0005418551,0.0001880914,0.0001236865,0.0001474037,0.00001860322,0.00001256904,5.211556e-8,0.07253417,0.009117499,0.9024252,0.01395953,0.0009313627],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0002225344,0.0002688953,0.9944217,0.0004935445,0.00304606,0.0008023424,0.0002885628,0.0003130997,0.0001432789],"genre_scores_gemma":[0.01102099,0.00002001166,0.9867352,0.001436546,0.0005370366,0.00004055834,0.00016884,0.00004035616,4.722527e-7],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.07088137,"threshold_uncertainty_score":0.9997553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01318622371227801,"score_gpt":0.2463608134856581,"score_spread":0.2331745897733801,"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."}}