{"id":"W2023165490","doi":"10.1109/iwcmc.2013.6583536","title":"Queuing model for EVs charging at public supply stations","year":2013,"lang":"en","type":"preprint","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":84,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Queueing theory; Charging station; Computer science; Grid; Smart grid; Electric vehicle; Load balancing (electrical power); Automotive engineering; Real-time computing; Simulation; Electrical engineering; Computer network; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00007376878,0.000258784,0.0002409633,0.0001500104,0.0001092372,0.0001789363,0.0002439395,0.0002726053,0.0004361487],"category_scores_gemma":[0.00001809343,0.0002469557,0.0001238936,0.00007772419,0.000008297498,0.0001772913,0.000169856,0.0004072775,0.00003164693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000284888,"about_ca_system_score_gemma":0.00006533031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003860222,"about_ca_topic_score_gemma":0.0000819324,"domain_scores_codex":[0.9988959,0.000005826791,0.0002735325,0.0002625597,0.0001283351,0.0004338542],"domain_scores_gemma":[0.9993777,0.00004156869,0.00004793328,0.0003109633,0.0001127514,0.0001091411],"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":[0.000001168656,0.00000433344,0.0001612168,0.0003106988,0.00008425358,2.240223e-7,0.0003878995,0.9258572,0.0009680816,0.01003252,0.05323119,0.008961222],"study_design_scores_gemma":[0.0001305614,0.000005304956,0.0001682102,0.00002651833,0.00001634049,0.000001857719,0.00001913914,0.9854521,0.0004903611,0.0104976,0.002900645,0.0002913651],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1465052,0.0006592942,0.8410064,0.0007629603,0.0005046372,0.00102203,0.0002247634,0.0009560479,0.0083586],"genre_scores_gemma":[0.9551989,0.0001732229,0.03855577,0.000138948,0.0001997236,0.0003724621,0.0004025464,0.0000971779,0.004861187],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8086937,"threshold_uncertainty_score":0.9999983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01909606141314165,"score_gpt":0.2242043185233851,"score_spread":0.2051082571102434,"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."}}