{"id":"W7131912363","doi":"","title":"Implementation of preventive rail grinding on Fortescue Metals Group 40 tonne axle load railway","year":2015,"lang":"en","type":"article","venue":"NPARC","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Grinding; Tonne; Train; Track (disk drive); Axle; Revenue; Railway system; Rail transportation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.004090777,0.0005374548,0.0002990704,0.001469024,0.002892484,0.001304896,0.002153631,0.001239523,0.006074021],"category_scores_gemma":[0.005289592,0.0005076423,0.0004163903,0.0004386452,0.0008555203,0.0007307349,0.001510757,0.001406281,0.001064551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007964812,"about_ca_system_score_gemma":0.02697489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1547073,"about_ca_topic_score_gemma":0.3314963,"domain_scores_codex":[0.9965604,0.000459077,0.0001553991,0.0004798516,0.001434931,0.0009102654],"domain_scores_gemma":[0.9928179,0.0007014106,0.0004791094,0.000340682,0.004470633,0.001190261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009511547,0.004920588,0.1051361,0.001621627,0.0001194899,0.007770836,0.02003263,0.01505638,0.05855941,0.005717879,0.03412428,0.7459897],"study_design_scores_gemma":[0.0002129603,0.01156942,0.5671864,0.001275381,0.0001050272,0.001732238,0.02023002,0.01135428,0.02665872,0.0007630474,0.3586426,0.0002699512],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9416462,0.0004374058,0.005772326,0.002555933,0.0001885852,0.002085897,0.0001628928,0.001033419,0.04611738],"genre_scores_gemma":[0.923092,0.0005328293,0.02542146,0.000832568,0.00003563601,0.000575169,0.0005274822,0.0001206633,0.04886224],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1547073,"threshold_uncertainty_score":0.3076135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0144413605500886,"score_gpt":0.2496550071285565,"score_spread":0.2352136465784679,"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."}}