{"id":"W2318530662","doi":"10.1115/jrc2013-2492","title":"A Study on Determination of Electrical Impedance and Frequency Characteristics of a Subway System Using Finite Element Analysis","year":2013,"lang":"en","type":"article","venue":"","topic":"Railway Systems and Energy Efficiency","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Northern Alberta Institute of Technology","funders":"","keywords":"Track circuit; Finite element method; Electrical impedance; Track (disk drive); Traction power network; Engineering; Power (physics); Electrical engineering; Computer science; Electronic engineering; Structural engineering; Electronic circuit; 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":[0.0001449909,0.00009816389,0.0003012549,0.0002337409,0.00001983122,0.00001344566,0.0000586889,0.00003484263,0.00001001718],"category_scores_gemma":[0.00001712562,0.00008149652,0.00004606754,0.0004484229,0.00000972628,0.00005641802,0.000009100637,0.00003861973,0.000001318719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005254909,"about_ca_system_score_gemma":0.000006905741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004462845,"about_ca_topic_score_gemma":0.00002312107,"domain_scores_codex":[0.9991359,0.00002949404,0.0004298389,0.0001164813,0.0001628823,0.0001253698],"domain_scores_gemma":[0.9995788,0.00005212968,0.00009745047,0.0001599292,0.00007786087,0.00003384713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002649449,0.001192801,0.5950897,0.00174487,0.001905862,0.00002981498,0.006908536,0.1150526,0.2262595,0.009527625,0.00001566179,0.04224658],"study_design_scores_gemma":[0.0001443339,0.0001930277,0.1066392,0.0000317276,0.0001273693,0.000001312519,0.0003770628,0.8905733,0.001815875,0.000003967961,6.887347e-7,0.00009221851],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9355736,0.00003518466,0.06360941,7.789998e-7,0.00004048171,0.0001866881,0.000003547307,0.00003269689,0.000517572],"genre_scores_gemma":[0.9991691,0.00000390801,0.0007697478,0.000001016938,0.00001445038,0.0000172796,0.000001557189,0.000009127069,0.00001380977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7755206,"threshold_uncertainty_score":0.3323332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01167171368426659,"score_gpt":0.2238605232412429,"score_spread":0.2121888095569763,"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."}}