{"id":"W2078428724","doi":"10.1109/ptc.2013.6652436","title":"Enabling decentralized real-time analysis of smart distribution systems using wireless communication","year":2013,"lang":"en","type":"article","venue":"","topic":"Optimal Power Flow Distribution","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; WiMAX; Network packet; Computer network; Node (physics); Wireless; Smart grid; Wireless network; Real-time computing; Communications system; Distributed computing; Embedded system; Telecommunications; 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":[0.0005148592,0.0005094752,0.0005275956,0.0002855792,0.0003399808,0.0006190656,0.0004888367,0.0003158796,0.0007608747],"category_scores_gemma":[0.001198133,0.0002225905,0.0003305508,0.0002210791,0.0004780653,0.0008590136,0.0004933267,0.0005327932,0.00009765867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004889827,"about_ca_system_score_gemma":0.0009096929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00210168,"about_ca_topic_score_gemma":0.002742356,"domain_scores_codex":[0.9997626,0.00007192385,0.000009297518,0.00003936706,0.00009441399,0.00002245578],"domain_scores_gemma":[0.9995572,0.000231285,0.00006735406,0.00006011012,0.00006570563,0.00001836331],"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":[0.00004378958,0.00004819634,0.000767495,0.00003938693,0.00002045783,0.00006180911,0.00006586326,0.9458767,0.01661044,0.009304709,0.000327584,0.02683361],"study_design_scores_gemma":[0.000004706755,0.000009400642,0.0001102276,0.000001355464,0.000002385625,0.000008583405,0.000006883705,0.9958308,0.001624711,0.002081517,0.0003168443,0.000002553643],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02584521,0.00003398835,0.9723069,0.00006144238,0.00001109159,0.00003077546,0.00001764526,0.000428018,0.001264886],"genre_scores_gemma":[0.8718494,0.0001062137,0.1268649,0.00002600763,0.00002040989,0.0000782091,0.00004632962,0.00006907341,0.0009394579],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00210168,"threshold_uncertainty_score":0.004178882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01125359834988776,"score_gpt":0.2289147569157303,"score_spread":0.2176611585658426,"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."}}