{"id":"W2185469754","doi":"","title":"Communication Network Modeling for Simulation of Wide Area Control and Protection Applications in Power Systems","year":2012,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Phasor; Polling; Computer science; Phasor measurement unit; Reliability (semiconductor); Telecommunications network; Units of measurement; Network packet; Context (archaeology); Markov chain; Communications system; Electric power system; Polling system; Distributed computing; Computer network; Power (physics)","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":[0.0007831432,0.0007498708,0.0007538793,0.0004559483,0.0006894526,0.0008205305,0.001408933,0.001361034,0.003009246],"category_scores_gemma":[0.003380591,0.0004470899,0.0008194232,0.0008114069,0.0005019883,0.001261055,0.0006958645,0.001684924,0.000461466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001416676,"about_ca_system_score_gemma":0.001576748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01570924,"about_ca_topic_score_gemma":0.01079864,"domain_scores_codex":[0.9994411,0.0002776429,0.00002777291,0.00005862973,0.0001388571,0.00005609441],"domain_scores_gemma":[0.9987852,0.0008506339,0.00009648343,0.00007533015,0.0001544158,0.00003793572],"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":[0.000007525183,0.00001109141,0.0001538028,0.00001204713,0.000006256321,0.00001457938,0.00001153325,0.9913196,0.000249503,0.006430863,0.0002177547,0.00156537],"study_design_scores_gemma":[0.000001963212,0.000003519918,0.00001896297,0.000001519256,0.000001150603,0.000002327711,0.000002357981,0.9984046,0.00006053665,0.001259001,0.0002429979,0.000001096341],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02504854,0.000374028,0.9668802,0.0005286147,0.000143777,0.0001240145,0.0003224763,0.0005330387,0.006045341],"genre_scores_gemma":[0.7721278,0.001022589,0.2181097,0.0002669018,0.0001682132,0.0007916195,0.0007786051,0.0002252434,0.006509238],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01570924,"threshold_uncertainty_score":0.03123564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01678792866720754,"score_gpt":0.2291813503706154,"score_spread":0.2123934217034079,"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."}}