{"id":"W3091942015","doi":"10.1109/jsyst.2020.3025202","title":"Mobile Communications-Enabled Smart Grid Cosimulator System Design","year":2020,"lang":"en","type":"article","venue":"IEEE Systems Journal","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Computer science; Communications protocol; Protocol stack; Wireless; Communications system; Grid; Embedded system; Real-time computing; Distributed computing; Simulation; Computer network; Wireless sensor network","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004191899,0.000504553,0.000398901,0.000264975,0.0003584739,0.0007567512,0.0008453855,0.0005675802,0.002958887],"category_scores_gemma":[0.0007409655,0.0001949585,0.0003810072,0.0001642611,0.000355063,0.0005011351,0.0005839051,0.0006236132,0.0005905781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004519075,"about_ca_system_score_gemma":0.0006165407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001948929,"about_ca_topic_score_gemma":0.001704674,"domain_scores_codex":[0.9996809,0.0001346649,0.00001880793,0.00004903916,0.00008795672,0.00002866352],"domain_scores_gemma":[0.9997519,0.00007869602,0.00003231184,0.00004058986,0.00008249946,0.00001413453],"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":[0.000121592,0.00005626979,0.001107211,0.0001589872,0.00005424588,0.0002114752,0.0001665366,0.9237381,0.01319174,0.03669677,0.0006610266,0.02383613],"study_design_scores_gemma":[0.00002288762,0.0001063658,0.00009955563,0.00001192851,0.00001410399,0.00003388899,0.00001898486,0.9883094,0.0052576,0.001759585,0.004358353,0.000007255252],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04000992,0.0001351012,0.9470083,0.000162749,0.00008180664,0.000277628,0.0001368473,0.001268625,0.01091907],"genre_scores_gemma":[0.8609775,0.0002250083,0.1324937,0.00008328151,0.00002558511,0.0006286424,0.0001694053,0.00009318054,0.005303635],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002958887,"threshold_uncertainty_score":0.009898484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03153703539946251,"score_gpt":0.2317950424570906,"score_spread":0.2002580070576281,"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."}}