{"id":"W4231455704","doi":"10.1109/tie.2019.2934203","title":"IEEE Transactions on Industrial Electronics publication information","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Electronics","topic":"Engineering and Technology Innovations","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Université de Franche-Comté; Universidade de Pernambuco; Argonne National Laboratory; Southeast University; Texas Tech University; Khalifa University of Science, Technology and Research; Indian Institute of Technology Madras; Aalborg Universitet; Connaught Fund; Chinese Academy of Sciences; Politecnico di Torino; Beihang University; Keio University; Dalhousie University; Queensland University of Technology; Tsinghua University; Mississippi State University; National University of Singapore; Hamad Bin Khalifa University; University of Wollongong; Northwestern University; Consejo Nacional de Investigaciones Científicas y Técnicas; York University; Harbin Institute of Technology; University of Technology Sydney; Shandong University; Nanyang Technological University; Universidade de Vigo","keywords":"Electronics; Computer science; Electrical engineering; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0003221133,0.0004682437,0.0003788239,0.00107444,0.000286772,0.0001429418,0.0003901851,0.001253069,0.0003269514],"category_scores_gemma":[0.00001839106,0.0005398864,0.0001955483,0.001963693,0.00005061102,0.0008856769,4.800164e-7,0.003553414,0.000698084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001096782,"about_ca_system_score_gemma":0.0003931639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000161059,"about_ca_topic_score_gemma":0.00003116368,"domain_scores_codex":[0.9975047,0.00004655465,0.0007682408,0.0003438611,0.0004495243,0.0008871116],"domain_scores_gemma":[0.9987218,0.0001476548,0.0001283455,0.0006847507,0.000185953,0.0001315132],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001446375,0.0002127852,0.000003673064,0.00002111976,0.0003443414,6.633488e-7,0.0001015994,0.8144901,0.003759479,0.002587453,0.004092767,0.1742414],"study_design_scores_gemma":[0.008459761,0.002585186,0.000007676177,0.0001607212,0.000324859,0.0000610953,0.0001463069,0.1853606,0.5443395,0.0004486197,0.2561996,0.00190612],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.103487,0.0000657072,0.8833673,0.0009412121,0.005292024,0.00131557,0.0001966598,0.002740685,0.002593819],"genre_scores_gemma":[0.9981968,0.0002207157,0.0001414024,0.0001489429,0.000193219,0.0002712405,0.00007336855,0.00008946219,0.0006648355],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8947098,"threshold_uncertainty_score":0.9997053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01533731170457187,"score_gpt":0.2054656174737831,"score_spread":0.1901283057692112,"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."}}