{"id":"W582820139","doi":"","title":"RAIL GRINDING ON AMTRAK'S MIXED-TRAFFIC NEC","year":2003,"lang":"en","type":"article","venue":"International Railway Journal and Rapid Transit Review","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Grinding; Track (disk drive); Transport engineering; Possession (linguistics); Rail traffic; Engineering; Work (physics); Light rail; Environmental science; Automotive engineering; Mechanical engineering; Public transport","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004604546,0.0002598947,0.0003210313,0.0001699226,0.0001036906,0.0001007808,0.0001968614,0.00007404482,0.0002883014],"category_scores_gemma":[0.00005738002,0.000215208,0.0002008158,0.0001545963,0.00002883325,0.0001754124,0.000004800115,0.0005209196,0.00005287254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006999882,"about_ca_system_score_gemma":0.0000201836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.693848e-7,"about_ca_topic_score_gemma":0.00000191931,"domain_scores_codex":[0.9987293,0.00004486013,0.0004448002,0.0001754998,0.0003347172,0.0002707965],"domain_scores_gemma":[0.9994794,0.0000781814,0.0000522791,0.0001207037,0.00007146539,0.0001979652],"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":[0.00003058024,0.0001858069,0.0002430032,0.003061018,0.001155745,0.0003858268,0.0004394297,0.3563134,0.00229451,0.01853087,0.01490481,0.602455],"study_design_scores_gemma":[0.00139135,0.0001366627,0.001226375,0.006761062,0.0001594556,0.003329894,0.0000458338,0.01465309,0.0003977784,0.0003311965,0.9707344,0.0008329345],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2900411,0.5523479,0.05874439,0.004857656,0.01604018,0.0009248736,0.0001093195,0.0009631381,0.07597142],"genre_scores_gemma":[0.6582724,0.3392815,0.001115604,0.0004470247,0.000324636,0.0000122782,0.00001398598,0.00006016603,0.0004723883],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9558296,"threshold_uncertainty_score":0.8775926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0084314145979672,"score_gpt":0.214795559971369,"score_spread":0.2063641453734018,"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."}}