{"id":"W4402567336","doi":"10.1080/00423114.2024.2403514","title":"Quantifying the impact of rail longitudinal level changes on dynamic load magnitudes through instrumented wheelset measurements","year":2024,"lang":"en","type":"article","venue":"Vehicle System Dynamics","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Transport Canada","keywords":"Engineering; Structural engineering; Dynamic load testing","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003543934,0.0002764919,0.0001892843,0.0006675562,0.0003041675,0.0004652129,0.0003618327,0.0002364212,0.0009146764],"category_scores_gemma":[0.001079428,0.0001655749,0.0001873969,0.000539654,0.0002716268,0.0003407532,0.0003506891,0.0002692876,0.0002268958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006108252,"about_ca_system_score_gemma":0.0004530486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02443751,"about_ca_topic_score_gemma":0.08025236,"domain_scores_codex":[0.999554,0.0000276724,0.00001717609,0.00008737748,0.0002563518,0.00005746659],"domain_scores_gemma":[0.9994826,0.0001476272,0.0001019146,0.00005352681,0.0001886881,0.00002564299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003479276,0.0002424422,0.6715124,0.0000960301,0.00006822393,0.0001859254,0.0009670518,0.03569034,0.2191966,0.0003445387,0.0003130569,0.07103533],"study_design_scores_gemma":[0.000007020055,0.0003794433,0.9097777,0.000009412301,0.00002748995,0.00006109303,0.0005217561,0.04846811,0.04001274,0.00008547326,0.0006190745,0.0000306791],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9885328,0.00001117058,0.009965794,0.000006839934,0.00000269039,0.00002557873,0.0002869501,0.00007894749,0.00108926],"genre_scores_gemma":[0.9966165,0.00001492523,0.002796953,0.000004984835,8.825027e-7,0.0000137684,0.0001545204,0.000009669284,0.0003877306],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02443751,"threshold_uncertainty_score":0.04859054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0673588498087405,"score_gpt":0.2905617019212317,"score_spread":0.2232028521124911,"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."}}