{"id":"W2473784818","doi":"10.1109/bigdatasecurity-hpsc-ids.2016.43","title":"Authentication and Access Control in e-Health Systems in the Cloud","year":2016,"lang":"en","type":"article","venue":"","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Access control; Authentication (law); Computer access control; Cloud computing; Computer network; Computer security; Encryption; Overhead (engineering)","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":[0.004291017,0.0002774717,0.000593287,0.001032952,0.001462426,0.002365433,0.001228412,0.001038798,0.001132141],"category_scores_gemma":[0.005994787,0.0003014501,0.000556975,0.0009389052,0.002492166,0.004729893,0.002197989,0.001167453,0.0003882761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00156901,"about_ca_system_score_gemma":0.002369851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002345231,"about_ca_topic_score_gemma":0.001006591,"domain_scores_codex":[0.9935911,0.002613531,0.0005292734,0.0006437263,0.001943014,0.0006794113],"domain_scores_gemma":[0.9943456,0.001977571,0.0008277543,0.001900516,0.000713643,0.0002347886],"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":[0.002492195,0.0008384479,0.00949144,0.000666109,0.0001919472,0.001762965,0.002730334,0.05519067,0.1344908,0.4700958,0.003818487,0.3182308],"study_design_scores_gemma":[0.0002692682,0.0006528242,0.004182861,0.0001467072,0.0002037676,0.001744736,0.0007495982,0.7472305,0.1365315,0.08870276,0.01943591,0.000149587],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1406401,0.001614948,0.8488389,0.001141306,0.00009813636,0.000465615,0.00005454241,0.0007465548,0.006399866],"genre_scores_gemma":[0.9501366,0.0003374385,0.04761607,0.0000820257,0.00003530368,0.00007261753,0.00002878275,0.00001575718,0.001675271],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004291017,"threshold_uncertainty_score":0.02269334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01996727488884791,"score_gpt":0.2870755467164591,"score_spread":0.2671082718276112,"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."}}