{"id":"W4327717002","doi":"10.1016/j.future.2023.03.021","title":"A compliance-based architecture for supporting GDPR accountability in cloud computing","year":2023,"lang":"en","type":"article","venue":"Future Generation Computer Systems","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Cloud computing; Computer science; Accountability; Scalability; Immutability; Transparency (behavior); Computer security; General Data Protection Regulation; Overhead (engineering); Distributed computing; Database; Data Protection Act 1998; Blockchain; Operating system; Law","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":[0.00392116,0.0003940467,0.0004434118,0.001028298,0.001717621,0.002454665,0.001870223,0.001791561,0.003267979],"category_scores_gemma":[0.005276106,0.0005384368,0.0006832842,0.001098837,0.001839619,0.004212298,0.003190473,0.002082284,0.001272961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001711922,"about_ca_system_score_gemma":0.005267596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00525376,"about_ca_topic_score_gemma":0.00499176,"domain_scores_codex":[0.9968296,0.0009251792,0.0003536393,0.0004614727,0.0009752713,0.0004548852],"domain_scores_gemma":[0.9960847,0.0006589266,0.0004116734,0.001355004,0.001138514,0.000351132],"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":[0.0006931158,0.000941843,0.008558854,0.0006669381,0.0001495313,0.001428908,0.001968704,0.1491029,0.07215536,0.5055114,0.01342691,0.2453955],"study_design_scores_gemma":[0.0001146985,0.0003475134,0.001621873,0.0001359257,0.0001038351,0.0006693682,0.0002531732,0.8354884,0.03987747,0.07361437,0.04764756,0.0001258035],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04382576,0.0001764418,0.9374786,0.001199961,0.00008723688,0.0008321241,0.0001232685,0.006940256,0.009336303],"genre_scores_gemma":[0.5603198,0.0002642266,0.4299707,0.0005640677,0.00007463057,0.0005009004,0.0004754041,0.0002562935,0.007574015],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00525376,"threshold_uncertainty_score":0.02073735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03750388830408589,"score_gpt":0.2924906107496648,"score_spread":0.2549867224455789,"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."}}