{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005536899,0.0001521817,0.0001596437,0.0001651064,0.00004487274,0.00002836272,0.0001994285,0.0000863572,0.000005483188],"category_scores_gemma":[0.000001658437,0.0001380326,0.00007656614,0.0001963134,0.000008751189,0.00005671239,0.00001606792,0.00006223715,0.000002055828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006752356,"about_ca_system_score_gemma":0.000003412229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001838551,"about_ca_topic_score_gemma":0.000007661732,"domain_scores_codex":[0.9992242,0.000005477015,0.0001876721,0.0001831193,0.00009745509,0.0003020262],"domain_scores_gemma":[0.9996853,0.00001954884,0.00001199877,0.0002210517,0.00002388052,0.0000382593],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002513722,0.00003313346,0.0000083648,0.000106754,0.00007863477,0.00001000471,0.000003538705,0.3829057,0.001501576,0.523653,0.003832087,0.08784203],"study_design_scores_gemma":[0.0002945863,0.0000612302,0.000005257178,0.0000323032,0.00001871467,0.000002344617,0.00002950214,0.9666905,0.02604347,0.001463794,0.005181483,0.0001767733],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006853777,0.0004179909,0.984918,0.0001540209,0.00007037389,0.00007150957,0.000001289472,0.002392612,0.005120425],"genre_scores_gemma":[0.9887224,0.00008579205,0.01059678,0.0001329356,0.00003007506,0.00004879412,0.000003827405,0.00002241944,0.0003569659],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9818686,"threshold_uncertainty_score":0.5628805,"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."}}