{"id":"W2904502618","doi":"","title":"CIGRE' Task Force C6.04.02: Developing benchmark models for integrating distributed energy resources","year":2005,"lang":"en","type":"article","venue":"CINECA IRIS Institutial research information system (University of Pisa)","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Benchmark (surveying); Task (project management); Task force; Computer science; Energy (signal processing); Energy resources; Environmental science; Engineering; Systems engineering; Physics; Geography; Political science; Cartography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01731335,0.002749976,0.002716668,0.003080643,0.001304095,0.004136937,0.006927253,0.004524693,0.01177386],"category_scores_gemma":[0.01774989,0.001269516,0.00192238,0.003794847,0.0007924451,0.003040329,0.00261905,0.002322887,0.005819808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003697328,"about_ca_system_score_gemma":0.008343086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03793569,"about_ca_topic_score_gemma":0.02431096,"domain_scores_codex":[0.9936383,0.002952374,0.0002631643,0.0003142637,0.00245625,0.0003756013],"domain_scores_gemma":[0.9898548,0.002968155,0.0004505039,0.001344085,0.005019358,0.000363152],"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":[0.0002651892,0.0003218542,0.002412472,0.0009983142,0.0001185434,0.0001884913,0.0001293278,0.529687,0.00224023,0.1135806,0.2247524,0.1253055],"study_design_scores_gemma":[0.0002130074,0.0003986974,0.001321063,0.001235195,0.0001002848,0.0001321142,0.0002069132,0.6039137,0.003849076,0.03838645,0.3501143,0.0001291408],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008818467,0.002996572,0.8049379,0.005965633,0.001854677,0.002521395,0.02479676,0.005475229,0.1426333],"genre_scores_gemma":[0.101184,0.006030422,0.7536958,0.001669434,0.0007925974,0.005341323,0.08205798,0.004052014,0.04517643],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03793569,"threshold_uncertainty_score":0.09156281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03328374709269871,"score_gpt":0.2412756875243201,"score_spread":0.2079919404316214,"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."}}