{"id":"W1922828617","doi":"10.1109/sedst.2015.7315270","title":"Challenges of modeling electrical distribution networks in real-time","year":2015,"lang":"en","type":"article","venue":"2015 International Symposium on Smart Electric Distribution Systems and Technologies (EDST)","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"RTDS Technologies (Canada)","funders":"","keywords":"Computer science; Bandwidth (computing); Variety (cybernetics); Distributed computing; Distributed generation; Task (project management); Electronic engineering; Electrical engineering; Telecommunications; Engineering; Systems engineering; Renewable energy","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006661282,0.000287387,0.0004857122,0.0002229389,0.00004619775,0.00009080231,0.0003078,0.0003898881,0.000002390224],"category_scores_gemma":[0.0001472586,0.0002707969,0.00007890151,0.0005619342,0.00003880195,0.0002385184,0.00005472573,0.0002924009,0.00002194873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006436253,"about_ca_system_score_gemma":0.00003717636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002460863,"about_ca_topic_score_gemma":0.000009766011,"domain_scores_codex":[0.9978549,0.00008279789,0.000779967,0.0003754809,0.0004965761,0.0004102967],"domain_scores_gemma":[0.9990205,0.0001056902,0.000173008,0.0003002943,0.0003060377,0.00009450316],"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":[0.0003368838,0.0002808578,0.002650582,0.00009407994,0.0002898738,0.00001964162,0.00008421019,0.8424946,0.004615984,0.1199286,0.004707588,0.02449708],"study_design_scores_gemma":[0.001005839,0.0001858971,0.0005536617,0.0001061668,0.0000146566,0.0000284852,0.000144675,0.9935427,0.0003163249,0.0003374908,0.003497573,0.0002665433],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7460392,0.02575195,0.1648026,0.003369627,0.003932258,0.003325895,0.0005902438,0.005818604,0.04636968],"genre_scores_gemma":[0.996401,0.002896598,0.000009122917,0.000002760571,0.0001033627,0.0001131823,0.0003871557,0.00002445262,0.00006240982],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2503618,"threshold_uncertainty_score":0.9999744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01597076667999097,"score_gpt":0.2384388080826551,"score_spread":0.2224680414026641,"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."}}