{"id":"W4413135309","doi":"10.1115/1.4069337","title":"Vehicle-Level Modeling and Analysis of Onboard Energy Harvesters and Their Impact on Dynamics","year":2025,"lang":"en","type":"article","venue":"Journal of vibration and acoustics","topic":"Innovative Energy Harvesting Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bell Helicopter Textron (Canada)","funders":"","keywords":"Vibration; Dynamics (music); Energy (signal processing); Vehicle dynamics; Aerospace engineering; Engineering; Automotive engineering; Computer science; Environmental science; Acoustics; Mechanical engineering; Physics","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":[0.0001209294,0.0001007712,0.0002366183,0.0005316149,0.00003435969,0.0000444024,0.00004792138,0.00006972795,6.232215e-7],"category_scores_gemma":[0.00009447416,0.00007289927,0.00003603224,0.000387283,0.00004615233,0.0001325658,0.00002327703,0.0001220704,8.098235e-9],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004245268,"about_ca_system_score_gemma":0.00001925135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007271035,"about_ca_topic_score_gemma":0.000009002605,"domain_scores_codex":[0.9995223,0.00001192246,0.0002743762,0.00005743755,0.00006370059,0.0000702473],"domain_scores_gemma":[0.9995995,0.0000978389,0.00009995842,0.00006487632,0.0001155944,0.00002228864],"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":[0.00001631965,0.00001229337,0.002255338,0.00002946278,0.0005057739,0.000001428522,0.00008945951,0.9422187,0.03622939,0.005082096,0.00002741314,0.01353238],"study_design_scores_gemma":[0.0001625483,0.00006555212,0.01479546,0.00006397556,0.0001358192,0.000002921239,0.0002915529,0.9802955,0.003135975,0.000988479,0.000002125549,0.00006002888],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5566142,0.00009800913,0.4431383,0.00005268395,0.00003297556,0.000007324125,0.0000118261,0.00001397678,0.00003075409],"genre_scores_gemma":[0.992918,0.0003023272,0.006699904,0.0000466468,0.00001126784,2.835778e-7,0.000003773763,0.000006516976,0.00001131195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4364384,"threshold_uncertainty_score":0.2972746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01441763090136528,"score_gpt":0.2408137946047463,"score_spread":0.226396163703381,"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."}}