{"id":"W2060832293","doi":"10.1007/s12667-013-0092-2","title":"A decentralized access control algorithm for PHEV charging in smart grid","year":2013,"lang":"en","type":"article","venue":"Energy Systems","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Smart grid; Scalability; Computer science; Renewable energy; Demand response; Grid; Schedule; Electric vehicle; Distributed computing; Electricity; Engineering; Electrical 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":[0.00008490327,0.0001582686,0.0002769439,0.00009460103,0.00003612615,0.000133145,0.0001927767,0.0001034334,0.00005164856],"category_scores_gemma":[0.000006940778,0.0001415501,0.00005754866,0.0001803594,0.000007110891,0.0002480337,0.00001037595,0.0000866965,0.000007832661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009055318,"about_ca_system_score_gemma":0.00001249352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00136686,"about_ca_topic_score_gemma":0.00003540107,"domain_scores_codex":[0.9990161,0.0000268207,0.0002821135,0.0001546934,0.0001032667,0.0004170201],"domain_scores_gemma":[0.9996446,0.00005278927,0.00003882456,0.0001422734,0.00004073999,0.00008073363],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003312068,0.00007644643,0.006429425,0.0006319272,0.000575733,0.00002885098,0.0005067757,0.3969091,0.02320261,0.006164565,0.1095226,0.4559188],"study_design_scores_gemma":[0.001326249,0.00001674044,0.001075734,0.00004951946,0.000006761999,0.000009820061,0.0000227651,0.9417189,0.001139417,0.0001161346,0.0543259,0.0001920493],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1026091,0.01199808,0.8715632,0.0002581135,0.006915963,0.00198965,0.00009827731,0.0009351019,0.003632493],"genre_scores_gemma":[0.9981339,0.00009120747,0.0004498175,0.00009031996,0.0005022941,0.000484513,0.00002230408,0.00004475677,0.000180907],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8955247,"threshold_uncertainty_score":0.5772247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005464320221851305,"score_gpt":0.198874504807408,"score_spread":0.1934101845855567,"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."}}