{"id":"W4308544908","doi":"10.3390/su142114100","title":"A Review on Intelligent Energy Management Systems for Future Electric Vehicle Transportation","year":2022,"lang":"en","type":"review","venue":"Sustainability","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Intelligent transportation system; Smart grid; Computer security; Energy management; Electric vehicle; Computer science; Control (management); Order (exchange); Risk analysis (engineering); Systems engineering; Transport engineering; Energy (signal processing); Engineering; Business; Artificial intelligence; Electrical 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":[0.0004020949,0.000496073,0.001229735,0.0002027733,0.0001343425,0.00003082371,0.0003579884,0.0002158433,0.00008937586],"category_scores_gemma":[0.00002703255,0.0004248404,0.0006145337,0.001006679,0.00001056772,0.00004939401,0.00001408583,0.0004856053,0.000001880532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002909114,"about_ca_system_score_gemma":0.0001759015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001609525,"about_ca_topic_score_gemma":0.000002735109,"domain_scores_codex":[0.9978238,0.000138738,0.0007765003,0.0005019351,0.000254797,0.0005042338],"domain_scores_gemma":[0.9989363,0.000109598,0.0001550846,0.0005863975,0.0001242352,0.0000884132],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004320546,0.00002118522,2.076035e-7,0.2617196,0.000119465,0.000006624258,0.00001285315,0.0005411601,8.67489e-9,0.005170244,0.006914766,0.7254896],"study_design_scores_gemma":[0.00007606977,0.0001384068,0.000003656825,0.003628757,0.0006075667,0.000004073637,0.00004946669,0.0004645457,4.754647e-7,0.0005895377,0.9940516,0.0003858529],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000002694499,0.994645,0.0009606172,0.0000349369,0.0005333689,0.003339324,0.00007514204,0.0002224868,0.0001864149],"genre_scores_gemma":[0.00005428189,0.9955593,0.00001659836,0.00008473482,0.0002770177,0.003220562,0.0004956112,0.0000987778,0.0001931653],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9871368,"threshold_uncertainty_score":0.9998204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01104592498799536,"score_gpt":0.2614171653857488,"score_spread":0.2503712403977534,"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."}}