{"id":"W2069459884","doi":"10.1109/epec.2009.5420922","title":"Energy based graphical user interface modeling for PHEV energy management system","year":2009,"lang":"en","type":"article","venue":"","topic":"Electric and Hybrid Vehicle Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Automotive engineering; Energy management; Fuel efficiency; Range (aeronautics); Internal combustion engine; Schedule; Acceleration; Energy consumption; Electric vehicle; Driving range; Computer science; Energy (signal processing); Simulation; Power (physics); Engineering; Electrical engineering; Aerospace 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003649752,0.0009711055,0.0004716698,0.0003919444,0.0004017573,0.001250567,0.001499107,0.001283766,0.0270774],"category_scores_gemma":[0.001285884,0.0003435994,0.0007341558,0.0002359663,0.0002293201,0.0008783855,0.0005461372,0.0008038307,0.005660292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006188308,"about_ca_system_score_gemma":0.0005141572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009198282,"about_ca_topic_score_gemma":0.005621604,"domain_scores_codex":[0.9996796,0.0000971491,0.00002231535,0.00005145163,0.000119192,0.0000303593],"domain_scores_gemma":[0.9996438,0.0001419959,0.00002328233,0.00004651919,0.0001319882,0.00001244872],"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":[0.000314776,0.0001421631,0.001806996,0.0001975292,0.00005702997,0.0003514218,0.0002139839,0.9126133,0.01008469,0.0126166,0.0110391,0.05056244],"study_design_scores_gemma":[0.00001769156,0.00002355899,0.0001641379,0.000009128714,0.000008914959,0.00002388474,0.000009492967,0.9906958,0.001861771,0.001078432,0.006099435,0.000007751518],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0173742,0.000130324,0.9381533,0.0002913187,0.0001013895,0.0003037831,0.001654987,0.02185152,0.02013926],"genre_scores_gemma":[0.7446736,0.0005033,0.1776488,0.0003049613,0.00005282994,0.002059339,0.004475995,0.001993223,0.06828794],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0270774,"threshold_uncertainty_score":0.09058297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00785979595010122,"score_gpt":0.1966192800676763,"score_spread":0.1887594841175751,"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."}}