{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002026654,0.0001335328,0.0003343429,0.0001297961,0.00005877794,0.0000706494,0.0001586489,0.0000973477,0.0002158127],"category_scores_gemma":[0.00001994786,0.0001369855,0.0001127415,0.0009251568,0.00003316046,0.0003152152,0.00003302055,0.00007390502,0.00004509059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002643984,"about_ca_system_score_gemma":0.00001091292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002367327,"about_ca_topic_score_gemma":0.00002017266,"domain_scores_codex":[0.9989641,0.00006571905,0.0004391059,0.0001245198,0.0001710859,0.0002354481],"domain_scores_gemma":[0.9991527,0.0000634045,0.00008936442,0.0004254461,0.0001985303,0.00007057574],"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":[0.00001863145,0.00007704754,0.004458342,0.0001370034,0.001567127,5.004351e-7,0.0001279984,0.6662582,0.3229089,0.002356629,0.001343073,0.0007465591],"study_design_scores_gemma":[0.0001620092,0.00001053184,0.003986717,0.00003426349,0.0004627005,7.731463e-7,0.00009319891,0.9883045,0.006680505,0.000008418826,0.0001135117,0.0001428951],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9334027,0.0001929245,0.06507537,0.00001126642,0.00007231463,0.0002546688,0.0001131607,0.0002601324,0.0006175318],"genre_scores_gemma":[0.9978743,0.0001815414,0.0005174718,0.000001380866,0.000007792331,0.00001597884,0.001357553,0.00001604226,0.00002792207],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3220463,"threshold_uncertainty_score":0.5586106,"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."}}