{"id":"W2001672163","doi":"10.5539/cis.v3n4p175","title":"Security Framework of Cloud Data Storage Based on Multi Agent System Architecture: Semantic Literature Review","year":2010,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Cloud computing; Cloud computing security; Correctness; Sherwood Applied Business Security Architecture; Architecture; Enterprise information security architecture; Computer security; Distributed System Security Architecture; Computer security model; Distributed computing; Security information and event management; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001054571,0.0006463099,0.0007783088,0.003731116,0.0009168813,0.003342972,0.001192366,0.001695776,0.001540591],"category_scores_gemma":[0.001539904,0.0003471588,0.0006838467,0.004112225,0.001116982,0.004239753,0.0006360906,0.0006315076,0.0004351373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002152721,"about_ca_system_score_gemma":0.003128024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004884006,"about_ca_topic_score_gemma":0.002906381,"domain_scores_codex":[0.9990638,0.0002696847,0.0001217526,0.0001359407,0.0003452275,0.00006359234],"domain_scores_gemma":[0.9992601,0.000345451,0.00009318622,0.00003908108,0.0002421695,0.00002005909],"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":[0.00007520376,0.0001220502,0.001826554,0.00931138,0.0001786686,0.001169936,0.001616006,0.02159272,0.003173169,0.610473,0.0112151,0.3392462],"study_design_scores_gemma":[0.00004983539,0.0001521414,0.003066316,0.006691226,0.0003501833,0.002844218,0.00353517,0.09241925,0.004243527,0.3567665,0.5297276,0.0001540667],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.02062966,0.4606981,0.410452,0.007169813,0.0006402673,0.0003307533,0.0003634212,0.0005623717,0.09915352],"genre_scores_gemma":[0.3837346,0.4209328,0.1825024,0.001298343,0.0007406961,0.0004948557,0.0007045308,0.00007770571,0.009514084],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004884006,"threshold_uncertainty_score":0.01561922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01800682610961279,"score_gpt":0.2777824738761886,"score_spread":0.2597756477665758,"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."}}