{"id":"W2052279143","doi":"10.1115/detc2008-49686","title":"Random Fatigue Failure of MD36 and MD523 Bogie Frames Due to Rail Corrugations","year":2008,"lang":"en","type":"article","venue":"","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Bogie; Vibration fatigue; Structural engineering; Random vibration; Parametric statistics; Finite element method; Track (disk drive); Monte Carlo method; Spectral density; Engineering; Acoustics; Mathematics; Physics; Vibration; Mechanical engineering","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":[0.0002819166,0.0002376008,0.0002767412,0.0005900186,0.0002067589,0.0001728614,0.0002269059,0.0002790808,0.001181105],"category_scores_gemma":[0.0007115551,0.0001133632,0.0002283004,0.0002071609,0.0003593829,0.0001332677,0.0002099774,0.0001286306,0.0001139295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002623674,"about_ca_system_score_gemma":0.0001124238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004540754,"about_ca_topic_score_gemma":0.005423305,"domain_scores_codex":[0.9998999,0.00001091865,0.000006906693,0.00001778535,0.00003759635,0.00002694267],"domain_scores_gemma":[0.9996737,0.0001029902,0.00007270665,0.00004559222,0.00006483051,0.00004023821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.003193939,0.0002862819,0.0780938,0.0003724144,0.0001354993,0.004234881,0.001036006,0.2173319,0.6234161,0.002783708,0.001531909,0.06758363],"study_design_scores_gemma":[0.00004733139,0.001671934,0.2910653,0.00003968654,0.00009242439,0.00136613,0.0004579829,0.5784969,0.1239536,0.0006769368,0.002044401,0.00008738515],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980877,0.00007426146,0.001391654,0.000008855962,0.000003367039,0.000003312117,0.00004995034,0.00002287901,0.0003579696],"genre_scores_gemma":[0.9994212,0.00001740369,0.0002634086,0.000002133131,7.35606e-7,0.000001920097,0.00004392517,0.000002093098,0.0002470668],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004540754,"threshold_uncertainty_score":0.009028614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01192497280675524,"score_gpt":0.2036898394517278,"score_spread":0.1917648666449726,"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."}}