{"id":"W617262326","doi":"","title":"Developed Wheel and Axle Assembly Monitoring System to Improve Passenger Train Safety","year":2000,"lang":"en","type":"article","venue":"Research Results","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Train; Axle; Automotive engineering; Engineering; Derailment; Accelerometer; Track (disk drive); Ride quality; Computer science; 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":[0.0002943327,0.0005248577,0.0003618725,0.0006789361,0.0002774421,0.0004382164,0.0006720873,0.0004845978,0.006247029],"category_scores_gemma":[0.0005498035,0.0002095152,0.0002268335,0.0003088008,0.0001360348,0.0004266052,0.0003639485,0.000425912,0.001551458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004752344,"about_ca_system_score_gemma":0.0007104496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0094057,"about_ca_topic_score_gemma":0.009298584,"domain_scores_codex":[0.9997038,0.00002441415,0.00001148141,0.00009606778,0.000135421,0.00002884203],"domain_scores_gemma":[0.9996085,0.00003276231,0.00002767237,0.00003597632,0.0002653258,0.00002976126],"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":[0.0006902603,0.0007203376,0.01965011,0.0002870348,0.00009850333,0.0004253005,0.0003704078,0.01355103,0.3971843,0.001868568,0.0203104,0.5448438],"study_design_scores_gemma":[0.000443092,0.003469466,0.0765669,0.00008475887,0.0002824671,0.0008803385,0.0001837789,0.4738876,0.369571,0.0006478129,0.07380445,0.000178306],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3568794,0.0002734761,0.5807155,0.0003073801,0.0002469649,0.001130494,0.001686497,0.03376921,0.02499118],"genre_scores_gemma":[0.7897422,0.0001430742,0.1694106,0.000275091,0.00005083353,0.0004001506,0.002221867,0.0001951408,0.03756109],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0094057,"threshold_uncertainty_score":0.02089834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02793645212627546,"score_gpt":0.2947040923320824,"score_spread":0.2667676402058069,"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."}}