{"id":"W2345511792","doi":"10.1177/0954409716646404","title":"Evaluating the potential of a rolling deflection measurement system to estimate track modulus","year":2016,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Track (disk drive); Deflection (physics); Stiffness; Modulus; Foundation (evidence); Young's modulus; Structural engineering; System of measurement; Computer science; Engineering; Mathematics; Materials science; Mechanical engineering; Physics; Optics; Geometry; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001630991,0.0004080206,0.0003776,0.0007354687,0.0002534798,0.0006231887,0.0006727964,0.0008663557,0.0006301293],"category_scores_gemma":[0.004183714,0.0003025427,0.0003043845,0.0005865115,0.0002603894,0.0007980673,0.0005646446,0.0002975551,0.0002083581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004470277,"about_ca_system_score_gemma":0.0005521496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005993269,"about_ca_topic_score_gemma":0.007093126,"domain_scores_codex":[0.9993493,0.0002076179,0.00003331785,0.0001024339,0.0002648786,0.00004242566],"domain_scores_gemma":[0.9974969,0.001614971,0.0001815438,0.0002584471,0.0004007533,0.00004731311],"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":[0.001817532,0.0004008221,0.08189677,0.0003020247,0.0001333384,0.0002984908,0.000232813,0.6197998,0.1774442,0.001465125,0.0003461588,0.115863],"study_design_scores_gemma":[0.00001887705,0.0006395891,0.01102255,0.00001039478,0.00002820903,0.00005605153,0.00005478271,0.9672312,0.02050583,0.0001158185,0.0002874356,0.00002929224],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8867767,0.0002075714,0.1105278,0.0001039041,0.00002400775,0.00008101497,0.000200101,0.0004056743,0.0016732],"genre_scores_gemma":[0.9725069,0.00008740978,0.02693528,0.00001455309,0.00000387312,0.00002961269,0.00007630148,0.00001169037,0.000334446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005993269,"threshold_uncertainty_score":0.01191676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02014864690924047,"score_gpt":0.2417688151819797,"score_spread":0.2216201682727393,"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."}}