{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002434807,0.00009962066,0.0001463746,0.0003175123,0.0003708994,0.0001383371,0.0006814889,0.0001664521,0.0000017153],"category_scores_gemma":[0.002230047,0.0000938226,0.00001371236,0.002251426,0.0006229168,0.0004943918,0.0009471297,0.0004663578,0.0000106915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003126154,"about_ca_system_score_gemma":0.00006818247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004533289,"about_ca_topic_score_gemma":0.000004169136,"domain_scores_codex":[0.9985103,0.000197202,0.0002134369,0.000413428,0.0002629216,0.0004027148],"domain_scores_gemma":[0.9969334,0.001948605,0.0001168934,0.0005617375,0.0004019069,0.00003748598],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007196601,0.0001525556,0.0009665876,0.0001530924,0.00007169897,0.00003283126,0.0007991223,0.000008579727,0.0068706,0.4729119,0.01295475,0.5050064],"study_design_scores_gemma":[0.00191904,0.001526011,0.005316802,0.0001489678,0.00003259112,0.0002481729,0.05189655,0.04928723,0.1766803,0.5593414,0.1528474,0.0007555517],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04257721,0.002225604,0.8964203,0.05515582,0.00005315435,0.001251444,0.00004592218,0.002043803,0.0002267524],"genre_scores_gemma":[0.9641656,0.001729839,0.03382572,0.00001963876,0.000006863354,0.0002121763,0.00002303821,0.000005811996,0.00001133437],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9215884,"threshold_uncertainty_score":0.3825974,"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."}}