{"id":"W4322495798","doi":"10.1145/3585538","title":"Compliance Checking of Cloud Providers: Design and Implementation","year":2023,"lang":"en","type":"article","venue":"Distributed Ledger Technologies Research and Practice","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Engineering and Physical Sciences Research Council","keywords":"Cloud computing; Computer science; Computer security; General Data Protection Regulation; Enforcement; Service provider; Revocation; Leverage (statistics); Data Protection Act 1998; Service (business); Business","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":[0.007289888,0.0006210196,0.0006335009,0.001167662,0.001402277,0.003807418,0.002824792,0.002137239,0.00565722],"category_scores_gemma":[0.01495816,0.001295949,0.001751451,0.0007677008,0.002833054,0.003925754,0.003109508,0.002609971,0.000955859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002502377,"about_ca_system_score_gemma":0.008620774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008506403,"about_ca_topic_score_gemma":0.00582167,"domain_scores_codex":[0.9916207,0.003015561,0.0007092066,0.001324281,0.00243283,0.0008973033],"domain_scores_gemma":[0.9894448,0.005023987,0.0009401547,0.00263458,0.001589341,0.0003670256],"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":[0.001335462,0.001292906,0.01931859,0.001323127,0.0003265161,0.002693553,0.003220924,0.3132844,0.07162932,0.3198228,0.005744311,0.2600082],"study_design_scores_gemma":[0.0002275436,0.0003441683,0.000777767,0.0001982762,0.0001514018,0.0005772093,0.0002936336,0.893892,0.05872043,0.02906043,0.01566985,0.000087294],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03112407,0.00009936899,0.9604548,0.0004079984,0.00004938549,0.0008594492,0.0001037895,0.004490042,0.002411215],"genre_scores_gemma":[0.4945647,0.0001939525,0.5000957,0.0002242536,0.00002526557,0.0005891456,0.0002490176,0.0004606536,0.003597242],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008506403,"threshold_uncertainty_score":0.03855306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1595043711798194,"score_gpt":0.4318855098115833,"score_spread":0.2723811386317639,"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."}}