{"id":"W2367639464","doi":"","title":"An Implementation for CA Subsystem Separation Based on PKI","year":2006,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Digital Rights Management and Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Public key infrastructure; Computer science; Key (lock); Digital Video Broadcasting; Computer security; Public-key cryptography; Separation (statistics); Broadcasting (networking); 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":[0.0008816003,0.0004563966,0.0005164822,0.0007617932,0.001101121,0.001818668,0.001707623,0.0007688195,0.008095859],"category_scores_gemma":[0.002023152,0.0004077984,0.0004450366,0.0005729549,0.0009148071,0.002583822,0.001281863,0.002566963,0.002866955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001021221,"about_ca_system_score_gemma":0.001773669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002243666,"about_ca_topic_score_gemma":0.00141619,"domain_scores_codex":[0.9988191,0.0001905669,0.00007893542,0.0002072518,0.0004944378,0.0002097044],"domain_scores_gemma":[0.9987286,0.0002133432,0.00007626731,0.0004782174,0.0004026261,0.0001009191],"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":[0.0009711921,0.0006568126,0.00444235,0.0006163766,0.0001779915,0.0006159729,0.001423119,0.01386801,0.1146468,0.444452,0.02477383,0.3933555],"study_design_scores_gemma":[0.000462184,0.001007385,0.002157645,0.0001998637,0.0003840548,0.001679542,0.0003880346,0.4032554,0.2575868,0.06251942,0.270115,0.0002447171],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01664708,0.0002140446,0.9489202,0.0003660638,0.0001975235,0.0003727139,0.0001077359,0.01470649,0.01846821],"genre_scores_gemma":[0.5828555,0.0003408848,0.3938631,0.0002875968,0.0001511665,0.0004354095,0.0004156238,0.0007431168,0.02090772],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008095859,"threshold_uncertainty_score":0.02708334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008557013656542664,"score_gpt":0.2940297998962134,"score_spread":0.2854727862396707,"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."}}