{"id":"W2002371946","doi":"10.1016/j.wear.2004.03.065","title":"Rolling contact fatigue on the British railway system: treatment","year":2004,"lang":"en","type":"article","venue":"Wear","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":112,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Research Council Canada","keywords":"Derailment; Lubrication; Railway system; Preventive maintenance; Grinding; Forensic engineering; Materials science; Engineering; Mechanical engineering; Transport engineering; Track (disk drive)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005956907,0.0001268944,0.0001310602,0.00002247946,0.0001213361,0.0001346594,0.000090013,0.00005357241,0.000009383542],"category_scores_gemma":[0.00000850568,0.0001044849,0.00006505936,0.00007506414,0.000007880638,0.00003285672,0.000004662787,0.00009796036,0.0001199154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002673032,"about_ca_system_score_gemma":0.00001039124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000184516,"about_ca_topic_score_gemma":0.00007761693,"domain_scores_codex":[0.9994628,0.00000775997,0.000119938,0.0001083915,0.00009993328,0.0002012029],"domain_scores_gemma":[0.9996834,0.0000419946,0.00001062506,0.0002037663,0.000008272948,0.00005191518],"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":[0.000002366875,0.00001665924,0.0000275812,0.00003387832,0.00005238927,0.00003747133,0.0001595691,0.9926722,0.000964764,0.004592814,0.0001203911,0.001319882],"study_design_scores_gemma":[0.004453839,0.0006933608,0.003182186,0.001998654,0.000123783,0.0002605236,0.001127442,0.9321436,0.0215439,0.0003670041,0.03267759,0.001428103],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9671308,0.0004823293,0.01845556,0.0001389312,0.0007711521,0.0002836352,0.00003298418,0.001175625,0.01152901],"genre_scores_gemma":[0.9992202,0.00007891605,0.0002618756,0.00001765181,0.0001240112,0.00002850281,0.000006863154,0.00003970307,0.0002222811],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06052862,"threshold_uncertainty_score":0.426077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01197579445146583,"score_gpt":0.1921052527433689,"score_spread":0.1801294582919031,"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."}}