{"id":"W2809590475","doi":"10.1145/3210284.3210290","title":"Secret Sharing in Pub/Sub Using Trusted Execution Environments","year":2018,"lang":"en","type":"article","venue":"","topic":"Peer-to-Peer Network Technologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Computer security; Guard (computer science); Dissemination; Confidentiality; Software; Cryptography; Computer network; Publication; Operating system; Telecommunications","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":[0.0002445783,0.0001161374,0.000113994,0.0002250889,0.00007376754,0.0001060661,0.001040156,0.00009240847,0.00001805297],"category_scores_gemma":[0.00003660591,0.0001145929,0.00002053236,0.000649199,0.00005785829,0.000478778,0.001080552,0.0001093793,0.0001402093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001830871,"about_ca_system_score_gemma":0.00001317786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007392173,"about_ca_topic_score_gemma":0.00007216741,"domain_scores_codex":[0.9987585,0.00001791739,0.000185906,0.0004524867,0.0002154687,0.0003697414],"domain_scores_gemma":[0.9992268,0.00001511747,0.00004310412,0.0006486202,0.00001162024,0.00005472276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004837726,0.0003495313,0.1070525,0.00002418669,0.00006821422,0.0001529881,0.003187247,0.006691539,0.418742,0.1118136,0.006506824,0.345363],"study_design_scores_gemma":[0.0005000254,0.000160328,0.04514305,0.00006810363,0.000004476209,0.00002660923,0.00008692501,0.8058913,0.1310768,0.009955019,0.00656984,0.0005175987],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5793836,0.000009937779,0.4181434,0.0003215433,0.0001636265,0.0001106086,2.65095e-7,0.0002782959,0.001588767],"genre_scores_gemma":[0.9156998,0.000002610324,0.08366828,0.000261818,0.00004643152,0.000007930542,8.739056e-7,0.000007223918,0.0003050671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7991997,"threshold_uncertainty_score":0.4672961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03001375751853424,"score_gpt":0.2602420621796149,"score_spread":0.2302283046610806,"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."}}