{"id":"W3215141990","doi":"10.1109/tii.2021.3128954","title":"An Intelligent Trust Cloud Management Method for Secure Clustering in 5G Enabled Internet of Medical Things","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Informatics","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":124,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Science Foundation of Chongqing; National Natural Science Foundation of China","keywords":"Trust management (information system); Cloud computing; Internet of Things; Computer science; Cluster analysis; Computer security; The Internet; Computer network; Internet privacy; World Wide Web; Artificial intelligence","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":[0.001502184,0.0001836169,0.0003221883,0.0002985146,0.00009169983,0.0001718683,0.0008599318,0.0003053406,0.0000233016],"category_scores_gemma":[0.00002796208,0.0001818848,0.0001304342,0.0006080173,0.00002736621,0.0006613459,0.0000216857,0.0006098759,0.000006214548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001259837,"about_ca_system_score_gemma":0.0001762129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008819043,"about_ca_topic_score_gemma":0.00001825684,"domain_scores_codex":[0.9978141,0.0001088806,0.0009983266,0.0001933079,0.0005462148,0.0003392266],"domain_scores_gemma":[0.9988903,0.0002490987,0.000195893,0.0004194344,0.0001009361,0.0001443654],"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":[0.0001286248,0.0004859646,0.000008442249,0.0003436886,0.0001727402,0.00002646693,0.02521028,0.05047217,0.00004201282,0.003383451,0.002425473,0.9173007],"study_design_scores_gemma":[0.001386374,0.0001870816,0.000001782987,0.0003134431,0.00002481754,0.00002316263,0.001180343,0.9628148,0.02633529,0.0002927425,0.007244584,0.0001955925],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007087855,0.000005641485,0.9817643,0.000342922,0.009775046,0.0003560391,0.000001724817,0.0000762359,0.0005902085],"genre_scores_gemma":[0.3679903,0.00007840434,0.627822,0.001700757,0.001696529,0.0001186851,0.0000214184,0.00004973495,0.0005220915],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9171051,"threshold_uncertainty_score":0.7417048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05133009040441697,"score_gpt":0.3146722562153845,"score_spread":0.2633421658109675,"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."}}