{"id":"W3120655537","doi":"10.3390/wevj12010011","title":"Charging and Discharging Strategies of Electric Vehicles: A Survey","year":2021,"lang":"en","type":"article","venue":"World Electric Vehicle Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université du Québec à Montréal; École de Technologie Supérieure; Concordia University","funders":"","keywords":"Weighting; Computer science; Grid; Power grid; Plug-in; Power (physics); Electric vehicle; Automotive engineering; 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":[0.000598319,0.0003013765,0.0004832492,0.0005512817,0.0002392714,0.0002541762,0.0002266711,0.0001043822,0.00009772237],"category_scores_gemma":[0.00007405534,0.0002913401,0.0001193113,0.002802069,0.00002998934,0.0004832981,0.00003913326,0.001070695,0.000004226266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001082926,"about_ca_system_score_gemma":0.0002478319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002295828,"about_ca_topic_score_gemma":0.00007122826,"domain_scores_codex":[0.9978237,0.0001631086,0.000617356,0.0002620847,0.0003824153,0.0007513823],"domain_scores_gemma":[0.9989659,0.000202655,0.0001611899,0.0002171097,0.0002320133,0.0002211445],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00004629902,0.00006932022,0.04132491,0.0001761169,0.0003311931,0.0001478127,0.0003939117,0.004811372,0.8562631,0.002066723,0.002836057,0.09153321],"study_design_scores_gemma":[0.002180201,0.0002790644,0.4975598,0.0002415198,0.0001498223,0.002220529,0.0004288789,0.1992605,0.2882817,0.005182276,0.003118728,0.001096901],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9783551,0.01698151,0.001815959,0.0001309612,0.0001751761,0.00008938219,0.000005502482,0.000121193,0.002325256],"genre_scores_gemma":[0.9965841,0.002444096,0.0003825997,0.00005908393,0.0002482398,0.000003360916,0.000007533763,0.00006264509,0.0002084019],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5679814,"threshold_uncertainty_score":0.9999539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007701323496657742,"score_gpt":0.2128855192759588,"score_spread":0.205184195779301,"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."}}