{"id":"W4403159190","doi":"10.1016/j.ress.2024.110555","title":"Reliability analysis for running safety of vehicle on slab track via an improved second-order fourth-moment approach","year":2024,"lang":"en","type":"article","venue":"Reliability Engineering & System Safety","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Fundamental Research Funds for Central Universities of the Central South University; National Natural Science Foundation of China","keywords":"Track (disk drive); Slab; Reliability (semiconductor); Moment (physics); Reliability engineering; Engineering; Computer science; Structural engineering; Mechanical engineering; Physics; Classical mechanics; Power (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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002234919,0.0007200968,0.001237424,0.0005222997,0.0001132313,0.00009606004,0.0004398645,0.0004342594,0.00002270226],"category_scores_gemma":[0.0001230626,0.0007129313,0.0007046296,0.001673631,0.00005074866,0.0003396699,0.00004315996,0.000655479,0.000009282589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001270472,"about_ca_system_score_gemma":0.00007197363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004030593,"about_ca_topic_score_gemma":0.000006715368,"domain_scores_codex":[0.9960401,0.00006450572,0.001565366,0.00105308,0.0004565318,0.0008203964],"domain_scores_gemma":[0.9972522,0.0005141633,0.00009462574,0.001574336,0.0002412898,0.0003233378],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000107914,0.0000975103,0.0001467111,0.007670395,0.000678346,0.000002514416,0.0004877597,0.9827995,0.005076668,0.001651365,0.00001566276,0.001265625],"study_design_scores_gemma":[0.0005436038,0.0001956803,0.003463737,0.0002669119,0.0003952606,0.000007971625,0.0001046062,0.9904987,0.0009526922,0.00002109939,0.002861941,0.0006877835],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1434482,0.0003654529,0.8501133,0.00002301777,0.001217477,0.001191348,0.0005174632,0.002432507,0.0006911927],"genre_scores_gemma":[0.9566355,0.00002365688,0.04234074,0.000004460912,0.0001811803,0.0002268145,0.0002529251,0.0002028763,0.0001318516],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8131873,"threshold_uncertainty_score":0.9995322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005764351426060159,"score_gpt":0.2026427532978225,"score_spread":0.1968784018717623,"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."}}