{"id":"W2601865691","doi":"10.1061/jtepbs.0000043","title":"Quantifying the Impact of Subgrade Stiffness on Track Quality and the Development of Geometry Defects","year":2017,"lang":"en","type":"article","venue":"Journal of Transportation Engineering Part A Systems","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Pacific Railway (Canada); Canadian Natural Resources; University of Alberta","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada; Alberta Innovates - Technology Futures","keywords":"Track geometry; Subgrade; Track (disk drive); Stiffness; Deflection (physics); Modulus; Structural engineering; Geotechnical engineering; Geology; Geometry; Mathematics; Engineering; Physics; Optics; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001096689,0.0001711085,0.0004644303,0.0001306891,0.00008683439,0.0000477815,0.0002528003,0.00006632419,0.000001001562],"category_scores_gemma":[0.00008295148,0.0001005967,0.0001900339,0.00009710926,0.00004935134,0.0001329202,0.000002656957,0.0002323921,2.542432e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004363611,"about_ca_system_score_gemma":0.00003249156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002936602,"about_ca_topic_score_gemma":0.00001290391,"domain_scores_codex":[0.9985336,0.00002009572,0.0009250123,0.00007045747,0.000299278,0.000151541],"domain_scores_gemma":[0.9988295,0.000264983,0.0004765347,0.0002644147,0.0001033808,0.00006116453],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0000562314,0.00001565701,0.004744711,0.0005804589,0.0002520179,0.000001987098,0.001708698,0.9881334,0.003507861,0.0006346853,0.000007949508,0.0003562841],"study_design_scores_gemma":[0.001254301,0.00004701387,0.8111537,0.0006917074,0.00006752314,0.00001358077,0.0002405137,0.1849834,0.001286556,0.00000615983,0.00008769027,0.0001678755],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9760786,0.0007017918,0.0223372,0.00001098598,0.0006662984,0.0001373593,0.00002404166,0.00002439634,0.00001938072],"genre_scores_gemma":[0.9995707,0.00006209005,0.0002558054,4.864559e-7,0.0000712032,0.000005822101,0.000003541413,0.00002598384,0.000004351943],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.806409,"threshold_uncertainty_score":0.4102213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04064685443302987,"score_gpt":0.291352018036109,"score_spread":0.2507051636030792,"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."}}