{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012841,0.0002361289,0.0003503997,0.0003233472,0.0003671886,0.0002799917,0.0009095436,0.0002458055,0.000001309967],"category_scores_gemma":[0.00001780305,0.0002300645,0.0001054052,0.001245208,0.00004046175,0.0001237731,0.0002061473,0.0002835021,0.00002204262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009623449,"about_ca_system_score_gemma":0.0001050499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004980852,"about_ca_topic_score_gemma":0.0001299221,"domain_scores_codex":[0.997655,0.0001580025,0.0006568861,0.0007906453,0.0002429464,0.0004964852],"domain_scores_gemma":[0.9984099,0.000189345,0.0002584114,0.0008675032,0.0002033429,0.00007154603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002698834,0.0003163732,0.00303537,0.0007260701,0.00006206096,0.00002164185,0.005489737,0.3982643,0.001443045,0.2341949,0.2092148,0.1472048],"study_design_scores_gemma":[0.0005130845,0.00005029263,0.0006143338,0.00004081692,0.000002562442,0.00001234833,0.0000798011,0.9586838,0.0002430335,0.0003435973,0.03917989,0.000236466],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03712825,0.000149482,0.9415284,0.003712189,0.01542814,0.001130811,0.00001859919,0.0008876934,0.00001642335],"genre_scores_gemma":[0.8024473,0.000002590361,0.1690171,0.0007349233,0.02709432,0.0004376504,0.0002126394,0.00002837929,0.00002507868],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7725113,"threshold_uncertainty_score":0.9381756,"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."}}