{"id":"W2163050837","doi":"10.1109/pes.2010.5590065","title":"Packet scheduling of GOOSE messages in IEC 61850 based substation intelligent electronic devices (IEDs)","year":2010,"lang":"en","type":"article","venue":"","topic":"Network Time Synchronization Technologies","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Scheduling (production processes); Network packet; Goose; IEC 61850; Computer network; Queueing theory; Automation; Telecommunications network; Real-time computing; Embedded system; Distributed computing; Engineering","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":[0.0005913078,0.0002928022,0.0001956495,0.0003729938,0.0002357752,0.0004683607,0.0004107342,0.0001976012,0.0007084946],"category_scores_gemma":[0.002678875,0.0001263472,0.0001868992,0.0003500578,0.0002708838,0.0005669752,0.0002380827,0.0002964188,0.00009426294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006447337,"about_ca_system_score_gemma":0.0005020952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002896467,"about_ca_topic_score_gemma":0.002491087,"domain_scores_codex":[0.9996056,0.0001301529,0.00003179083,0.00005025402,0.0001033844,0.0000788039],"domain_scores_gemma":[0.9987244,0.0007166056,0.000146722,0.0001326875,0.0002404618,0.00003912799],"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":[0.001170548,0.0001824555,0.009755154,0.0002233837,0.0000730722,0.0002595031,0.0003259098,0.8148865,0.08656673,0.01018714,0.000964663,0.07540496],"study_design_scores_gemma":[0.00007156372,0.0005386401,0.003007786,0.00001205462,0.00006343418,0.00007234593,0.0001205513,0.8694223,0.1222632,0.001635076,0.002773419,0.00001963024],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8342555,0.0001830405,0.1610799,0.00006436808,0.00005946129,0.0001421168,0.0001280491,0.0009000545,0.003187618],"genre_scores_gemma":[0.9818179,0.0001140207,0.01742927,0.0000219438,0.000003518933,0.00002931802,0.0001207502,0.00003175801,0.0004313707],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002896467,"threshold_uncertainty_score":0.005759239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007563031947495462,"score_gpt":0.2398111172586326,"score_spread":0.2322480853111372,"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."}}