{"id":"W4240056463","doi":"10.1007/978-3-030-24900-7","title":"Security, Privacy, and Anonymity in Computation, Communication, and Storage","year":2019,"lang":"en","type":"book","venue":"Lecture notes in computer science","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Computer science; Anonymity; Computer security; Information privacy; Cryptography; Internet privacy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001271822,0.001261037,0.001183119,0.001323697,0.00179206,0.0072838,0.00136461,0.001938341,0.006130327],"category_scores_gemma":[0.003783415,0.0008088683,0.0009204359,0.004257412,0.007571911,0.01195736,0.002674045,0.004736511,0.002484534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001935165,"about_ca_system_score_gemma":0.002057015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001252439,"about_ca_topic_score_gemma":0.0008678107,"domain_scores_codex":[0.9977244,0.0005375016,0.0001443901,0.0003646684,0.001002977,0.0002261155],"domain_scores_gemma":[0.9975432,0.001370791,0.0001564872,0.0006141533,0.0002288262,0.00008652433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004673568,0.000017104,0.0001068035,0.00013416,0.0000116041,0.00004617507,0.0002259189,0.002346613,0.0005881732,0.9251999,0.01580746,0.05546924],"study_design_scores_gemma":[0.000007870142,0.00003191198,0.0001551225,0.00009651252,0.00001533389,0.0003054811,0.0001166202,0.004955114,0.0006991774,0.8851135,0.1084854,0.00001797473],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01676802,0.1749009,0.4083588,0.01850451,0.004481224,0.0002097597,0.0006498527,0.0008572973,0.3752696],"genre_scores_gemma":[0.3999723,0.1458104,0.1374694,0.003154009,0.007666778,0.0006466837,0.0007906064,0.000592991,0.3038968],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0072838,"threshold_uncertainty_score":0.02050805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01706823130738596,"score_gpt":0.2666774099551236,"score_spread":0.2496091786477376,"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."}}