{"id":"W589673212","doi":"","title":"RAIL GRINDING ON CN","year":2000,"lang":"en","type":"article","venue":"Railway track and structures","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Grinding; Work (physics); Track (disk drive); Engineering; Third rail; Center (category theory); Automotive engineering; Component (thermodynamics); Transport engineering; Manufacturing engineering; Forensic engineering; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008416373,0.0004738155,0.0003543278,0.002095126,0.002793733,0.001352365,0.001169789,0.0006193131,0.0283475],"category_scores_gemma":[0.001540123,0.0002911779,0.0004912525,0.001552323,0.001042928,0.0006139954,0.001297324,0.001075554,0.004299186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00672618,"about_ca_system_score_gemma":0.007581284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3846975,"about_ca_topic_score_gemma":0.660354,"domain_scores_codex":[0.9979116,0.00003797425,0.00003512854,0.0001772673,0.001593529,0.0002445869],"domain_scores_gemma":[0.9983305,0.00007208074,0.00005702834,0.0002062641,0.001241731,0.00009236586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002798909,0.0001069492,0.006141467,0.0004232433,0.00001884465,0.0007312118,0.0008573944,0.004429795,0.09788854,0.02480484,0.07085315,0.7934646],"study_design_scores_gemma":[0.00003732983,0.0004613663,0.06843176,0.0002807041,0.00004177653,0.001500219,0.000897029,0.008052216,0.07595358,0.003230018,0.8410211,0.00009295041],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1864161,0.00683298,0.06831163,0.00391322,0.002747231,0.0004575517,0.001298961,0.005441329,0.724581],"genre_scores_gemma":[0.5266504,0.004553699,0.07711501,0.001394733,0.0002083888,0.00005603683,0.001562527,0.001065285,0.3873939],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3846975,"threshold_uncertainty_score":0.7649167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005179101783588188,"score_gpt":0.1911410348420216,"score_spread":0.1859619330584334,"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."}}