{"id":"W2293542236","doi":"10.1109/icact.2016.7423611","title":"Security middleware infrastructure for medical imaging system integration and monitoring","year":2016,"lang":"en","type":"article","venue":"2016 18th International Conference on Advanced Communication Technology (ICACT)","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Computer science; Middleware (distributed applications); Computer security; Access control; Authentication (law); Security service; Vulnerability (computing); Security information and event management; Cloud computing security; World Wide Web; Information security; Cloud computing; Database","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":[0.002797904,0.0008301961,0.0007849213,0.00190634,0.000745274,0.002518914,0.00226339,0.0009441971,0.003781292],"category_scores_gemma":[0.005788427,0.0005361527,0.0007729207,0.0009285702,0.0006307632,0.003225078,0.003559384,0.001703005,0.002222286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001484915,"about_ca_system_score_gemma":0.002628333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001063712,"about_ca_topic_score_gemma":0.0005647089,"domain_scores_codex":[0.9970514,0.0004741199,0.0004574381,0.0006099474,0.001086915,0.0003201765],"domain_scores_gemma":[0.9960438,0.0006353679,0.0005721052,0.001523087,0.0008727057,0.0003530197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00185844,0.0008565424,0.02757117,0.00143542,0.0007212652,0.002356985,0.002535673,0.03469941,0.2259836,0.07602235,0.03239337,0.5935658],"study_design_scores_gemma":[0.0001770168,0.0006885916,0.01642721,0.0003539116,0.0005575122,0.002793946,0.0005750291,0.4275315,0.267164,0.03476617,0.2486501,0.0003152056],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03659234,0.001130519,0.9056523,0.001103189,0.0002537846,0.0006219462,0.0003444024,0.04557023,0.00873134],"genre_scores_gemma":[0.7023482,0.0009057166,0.2842319,0.0005338583,0.0001815618,0.0005452016,0.001511151,0.001162298,0.008579971],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003781292,"threshold_uncertainty_score":0.01479691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02315489632258271,"score_gpt":0.3102348176236469,"score_spread":0.2870799213010642,"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."}}