{"id":"W2911536666","doi":"10.1109/lcn.2018.8638126","title":"Multi-Level Fog Based Resource Allocation Model for EVs Energy Planning in Smart Grid","year":2018,"lang":"en","type":"preprint","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Smart grid; Computer science; Schedule; Workload; Grid; Distributed computing; Queueing theory; Efficient energy use; Real-time computing; Computer network; Engineering; Operating system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001557138,0.00028818,0.0002723792,0.0002087613,0.00004047202,0.00004411257,0.000267254,0.0004620711,0.00002060593],"category_scores_gemma":[0.0000247934,0.0002887582,0.00009318415,0.000102565,0.00001145059,0.00005139844,0.00008033415,0.0003593228,0.000001800592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001763903,"about_ca_system_score_gemma":0.00007937117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000144355,"about_ca_topic_score_gemma":0.0001972126,"domain_scores_codex":[0.9988251,0.00001431644,0.0003424594,0.0003443148,0.0001319511,0.0003418248],"domain_scores_gemma":[0.9994147,0.00004908441,0.00005836267,0.0003465322,0.00006665236,0.00006465174],"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":[0.00001741345,0.00001050796,0.0001582875,0.0001471308,0.00002416574,6.549893e-7,0.0001256951,0.9779339,0.0006704999,0.0001025642,0.01610238,0.004706832],"study_design_scores_gemma":[0.0005087492,0.00001912338,0.001066715,0.0001304147,0.00001308629,8.004998e-7,0.000009962268,0.9901264,0.002993231,0.0005506138,0.004244647,0.0003362247],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01273976,0.0002339859,0.9847637,0.00007236112,0.0002678568,0.0002672012,0.00007749027,0.0002494144,0.001328188],"genre_scores_gemma":[0.8023134,0.00001778704,0.1949146,0.0003809702,0.0004179187,0.0002060326,0.0006768256,0.0001097351,0.0009626942],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7898491,"threshold_uncertainty_score":0.9999564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03589916388436967,"score_gpt":0.2485396436727799,"score_spread":0.2126404797884102,"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."}}