{"id":"W2121039373","doi":"10.1109/sege.2013.6707902","title":"Flexible residential smart grid simulation framework","year":2013,"lang":"en","type":"article","venue":"","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Smart grid; Demand response; Energy consumption; Scheduling (production processes); Grid; Electricity; Distributed computing; Consumption (sociology); Industrial engineering; Engineering; Operations management","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":[0.0005853025,0.0005131512,0.0006976161,0.0004923428,0.0005164283,0.000835446,0.001802127,0.000758917,0.00740864],"category_scores_gemma":[0.0009870826,0.0002800708,0.0006875923,0.000719082,0.0004022821,0.000953782,0.0007563294,0.0006812189,0.0008817767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008611141,"about_ca_system_score_gemma":0.001084896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0102271,"about_ca_topic_score_gemma":0.006022837,"domain_scores_codex":[0.9996426,0.0001492237,0.00002619803,0.00005428901,0.00008298494,0.00004471684],"domain_scores_gemma":[0.999667,0.000121615,0.00002391938,0.00007303473,0.00008725904,0.0000271093],"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":[0.00005604398,0.00004563902,0.0005505329,0.00003485549,0.00001598835,0.00006882018,0.00006528366,0.9694436,0.0009375335,0.02000204,0.001394269,0.007385469],"study_design_scores_gemma":[0.00001314486,0.000009513964,0.00006882672,0.00000307853,0.000004167687,0.00001194993,0.00001191289,0.9936469,0.0005118385,0.002493138,0.003220085,0.000005350513],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06126134,0.0001175306,0.8959842,0.0003272827,0.00006555209,0.0003586878,0.001970705,0.00854881,0.03136586],"genre_scores_gemma":[0.7578242,0.0003946278,0.2248561,0.0001145843,0.00003505274,0.0009352057,0.002463969,0.0005383994,0.01283786],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0102271,"threshold_uncertainty_score":0.02478439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009668302214354042,"score_gpt":0.2186472836183008,"score_spread":0.2089789814039467,"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."}}