{"id":"W2905119334","doi":"10.1109/hitech.2018.8566634","title":"Development of Control Strategy for Charging Electric Vehicles in Micro and Nanogrid","year":2018,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agence Universitaire de la Francophonie","keywords":"MATLAB; Reliability (semiconductor); Electric vehicle; Computer science; Control (management); Stability (learning theory); Automotive engineering; Energy storage; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008271375,0.0000797821,0.0001269301,0.00009040708,0.00002819797,0.000009937169,0.00004859302,0.0000486461,0.00001549471],"category_scores_gemma":[0.000004021032,0.00006979425,0.00001323517,0.0001394585,0.00001114458,0.00004727707,0.000004873368,0.00005086465,0.000001098926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002434519,"about_ca_system_score_gemma":0.00002584687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003943647,"about_ca_topic_score_gemma":0.00002309179,"domain_scores_codex":[0.9994906,0.000003465597,0.0001831912,0.00008408157,0.00004067347,0.0001979581],"domain_scores_gemma":[0.9998608,0.00002242231,0.00001746882,0.00004517104,0.00002867886,0.00002541983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002068015,0.000007953135,0.002336059,0.00007918617,0.00003017584,3.951713e-7,0.0002989939,0.000151813,0.8404625,0.0006271984,0.0002395375,0.1557455],"study_design_scores_gemma":[0.001465649,0.0001172399,0.02898089,0.00002875556,0.000007860661,0.000009134021,0.00007816072,0.0705627,0.8950397,0.0004778551,0.003011261,0.0002208391],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913555,0.0004910335,0.007345532,0.00001070794,0.00002587606,0.000148277,0.000001742166,0.00003723737,0.0005840654],"genre_scores_gemma":[0.9901524,0.00002211004,0.009709241,0.00002835548,0.00004428443,0.00001021831,0.000001240563,0.00001153959,0.00002062073],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1555247,"threshold_uncertainty_score":0.2846127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007340169365796011,"score_gpt":0.2070046648957944,"score_spread":0.1996644955299984,"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."}}