{"id":"W3088623420","doi":"10.22360/springsim.2020.cns.005","title":"Studying Malware Propagation in Wireless Sensor Networks with Cell-DEVS","year":2020,"lang":"en","type":"article","venue":"","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Malware; Computer science; Wireless sensor network; Computer network; Interrupt; DEVS; Wireless; Distributed computing; Key distribution in wireless sensor networks; Wireless network; Computer security; Embedded system; Modeling and simulation; Operating system; Simulation","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":[0.0005753952,0.0005768819,0.0004194797,0.0006553187,0.0003592601,0.0004456109,0.0006318309,0.0006731998,0.0003962776],"category_scores_gemma":[0.002362424,0.0002361185,0.0004528662,0.0006002348,0.0005898476,0.001006659,0.0003842496,0.00052281,0.00007535269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007714435,"about_ca_system_score_gemma":0.0003419414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004268204,"about_ca_topic_score_gemma":0.002607472,"domain_scores_codex":[0.9996746,0.00009793717,0.00001482823,0.00005440425,0.00008954283,0.00006882675],"domain_scores_gemma":[0.9977555,0.001532071,0.0003107558,0.0001318703,0.0002070503,0.00006273559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008293407,0.0001324656,0.007474963,0.0001405243,0.00007506416,0.000215513,0.0001093095,0.9630933,0.01516333,0.005786329,0.0004101099,0.007316265],"study_design_scores_gemma":[0.000006171569,0.00009071398,0.001131647,0.000008303328,0.00001365009,0.00005962613,0.00004258882,0.9919591,0.005581589,0.0007804199,0.0003188671,0.000007256368],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9560505,0.0006564164,0.03933735,0.0002415242,0.00006907206,0.00006951216,0.0002058637,0.0001768201,0.003192975],"genre_scores_gemma":[0.9896952,0.0004116299,0.008933598,0.00003885716,0.0000137848,0.00004497345,0.0001122581,0.00001760241,0.0007320161],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004268204,"threshold_uncertainty_score":0.008486688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01474547530999933,"score_gpt":0.194819327491514,"score_spread":0.1800738521815147,"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."}}