{"id":"W3134803699","doi":"10.1109/icjece.2020.3008689","title":"A New Framework for Plug-In Electric Vehicle Charging Models Supported by Solar Photovoltaic Energy Resources Un nouveau cadre pour les modèles de recharge du véhicule électrique rechargeable supporté par des ressources d’énergie solaire photovoltaïque","year":2021,"lang":"fr","type":"article","venue":"Canadian Journal of Electrical and Computer Engineering","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Taibah University","keywords":"Photovoltaic system; Electric vehicle; Environmental science; Work (physics); Automotive engineering; Solar Resource; Computer science; Solar energy; Stochastic modelling; Energy demand; Simulation; Engineering; Environmental economics; Electrical engineering; Physics; Mathematics; Mechanical engineering; Power (physics); Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0005596695,0.0007297843,0.001056526,0.000812483,0.0004605439,0.0003690154,0.0005078219,0.0009160114,0.0001057257],"category_scores_gemma":[0.0002657132,0.0008159755,0.0003627421,0.001762502,0.00005028994,0.0005293781,0.00003560783,0.00187507,8.137012e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001135543,"about_ca_system_score_gemma":0.00164592,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0106215,"about_ca_topic_score_gemma":0.002435911,"domain_scores_codex":[0.9956784,0.0001595385,0.001092653,0.0006070662,0.0002923014,0.002170063],"domain_scores_gemma":[0.9969452,0.0005923952,0.0002802255,0.0002669895,0.0002999615,0.001615236],"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":[0.0002179462,0.0002205919,0.009966109,0.0009896382,0.001341105,0.003051045,0.005021732,0.4625041,0.319146,0.00708341,0.02042867,0.1700296],"study_design_scores_gemma":[0.001027941,0.0003578181,0.000709617,0.0006912372,0.0001146245,0.001341159,0.00004392711,0.7820653,0.1861467,0.0105069,0.01625244,0.0007423923],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3772607,0.0630794,0.5583782,0.0007137216,0.0002818804,0.0001607702,0.00004033459,0.00006096781,0.00002404928],"genre_scores_gemma":[0.9248859,0.007343776,0.06549024,0.0002703832,0.001454624,0.00002491847,0.00002713587,0.000215077,0.0002879853],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5476251,"threshold_uncertainty_score":0.9994291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007104044169213873,"score_gpt":0.1758513923328789,"score_spread":0.168747348163665,"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."}}