{"id":"W4404563807","doi":"10.1109/vppc63154.2024.10755503","title":"Enhanced EMR-Based Modelling for Electric Urban Buses Performance Studies","year":2024,"lang":"en","type":"article","venue":"","topic":"Railway Systems and Energy Efficiency","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Foundation for Science and Technology; Mitacs; Canada Research Chairs","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00009934213,0.0001292642,0.000151091,0.0001157341,0.00006487258,0.00004292087,0.00005988228,0.00003925816,0.00000950112],"category_scores_gemma":[0.000006336511,0.0001023488,0.00006039831,0.0002752951,0.000008265395,0.0001009005,0.000004311114,0.00005721156,0.00002489759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005516057,"about_ca_system_score_gemma":0.00001970516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003666581,"about_ca_topic_score_gemma":0.000002420003,"domain_scores_codex":[0.9993254,0.000003252397,0.0001743393,0.0001573309,0.00008683906,0.0002528269],"domain_scores_gemma":[0.9997445,0.00007912686,0.000007042493,0.0001008516,0.00003969945,0.00002875522],"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":[0.000002439686,0.000004435399,0.000001758328,0.0003972232,0.00003932892,4.653779e-7,0.0001834892,0.9830703,0.009412366,0.0005929904,0.002170743,0.004124456],"study_design_scores_gemma":[0.00007085594,0.00004626998,0.000001620417,0.00009750621,0.000009942308,6.313692e-7,0.00004384066,0.9038957,0.08604811,0.00001535597,0.00963309,0.000137094],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4370652,0.009473762,0.5473052,0.00001507722,0.0009141765,0.000116871,0.000001191513,0.0007571963,0.004351305],"genre_scores_gemma":[0.995742,0.0003346388,0.001264544,0.00001660076,0.0001831776,0.0001054708,0.000001902869,0.000035106,0.002316554],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5586768,"threshold_uncertainty_score":0.4173664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02654648167867065,"score_gpt":0.2385148780229498,"score_spread":0.2119683963442792,"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."}}