{"id":"W2145253790","doi":"10.1109/ccece.2011.6030662","title":"Management of PHEV charging from the smart grid using sensor web services","year":2011,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Smart grid; Grid; Plug-in; Energy management; Web service; Automotive engineering; Web application; State of charge; Power (physics); Energy (signal processing); Engineering; Operating system; Electrical engineering; World Wide Web; Battery (electricity)","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":[0.00004989473,0.00008752567,0.00008796775,0.00001789123,0.0000346625,0.00001038307,0.0001445596,0.00003138864,0.0004876766],"category_scores_gemma":[2.102194e-7,0.00005814602,0.00003298212,0.0001071307,0.000008559918,0.00006568185,0.00003249401,0.00007209329,0.00001163326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001316512,"about_ca_system_score_gemma":0.000002114086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003329361,"about_ca_topic_score_gemma":0.00002074545,"domain_scores_codex":[0.9995593,0.000008765483,0.0001237304,0.00008149582,0.00008247959,0.0001442317],"domain_scores_gemma":[0.9997631,0.00001001847,0.00002195923,0.0001713763,0.00001242531,0.00002113337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009676987,0.0001764449,0.1656179,0.002840725,0.004706505,0.0001800451,0.01997386,0.03066725,0.5444242,0.01739516,0.007985042,0.2059361],"study_design_scores_gemma":[0.0007763279,0.00003647078,0.1133191,0.000295293,0.0002143438,0.00001211608,0.003408952,0.7473878,0.1230742,0.001305023,0.009609298,0.0005610105],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9776931,0.0003080245,0.001161414,0.00001819583,0.0002053332,0.00008236704,0.000009981792,0.0001005005,0.0204211],"genre_scores_gemma":[0.9908051,0.0000907249,0.008859208,0.0000687867,0.00009417259,0.000001305439,0.000003303579,0.0000162403,0.00006108029],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7167206,"threshold_uncertainty_score":0.5339717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01159414167135118,"score_gpt":0.183825694140081,"score_spread":0.1722315524687298,"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."}}