{"id":"W2059375023","doi":"10.1115/jrc2012-74035","title":"Automated Train Brake Effectiveness (ATBE) Test Process at Canadian Pacific","year":2012,"lang":"en","type":"article","venue":"","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Sport Centre Pacific","funders":"","keywords":"Train; Brake; Track (disk drive); Process (computing); Automotive engineering; Engineering; Air brake; Test (biology); Computer science; Aeronautics; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001689043,0.0001902903,0.0001555488,0.0001308203,0.00007027448,0.0000258792,0.0001041217,0.0001196047,0.0000886597],"category_scores_gemma":[0.00004201512,0.0001851743,0.00003754293,0.0002562021,0.00001659646,0.0001492881,0.000006900554,0.0001151642,0.0002126182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003289478,"about_ca_system_score_gemma":0.00003096542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001214363,"about_ca_topic_score_gemma":0.005945103,"domain_scores_codex":[0.9990662,0.00001121994,0.0001224627,0.0001169743,0.00009594732,0.000587206],"domain_scores_gemma":[0.9992878,0.0001001999,0.000007695474,0.0001774942,0.00002261213,0.0004041851],"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":[0.00001017287,0.0001161856,0.1387749,0.001397932,0.0001742845,0.00004550906,0.002371575,0.8298467,0.01409864,0.00107477,0.007292342,0.004796959],"study_design_scores_gemma":[0.0002871741,0.00002070079,0.1181554,0.00004494056,0.00001423224,0.0000588376,0.00008764677,0.8730278,0.003096745,0.0000141396,0.004703405,0.0004889496],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9367077,0.0002109704,0.002371762,0.00002115049,0.0007412516,0.0002445747,0.00007846775,0.00428941,0.05533465],"genre_scores_gemma":[0.9990465,0.000004898248,0.0002127671,0.00001041759,0.0000776079,0.00003468139,0.00004248643,0.00006570666,0.0005049389],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06233874,"threshold_uncertainty_score":0.7551189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004313232340888828,"score_gpt":0.1946151283954866,"score_spread":0.1903018960545978,"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."}}