{"id":"W4221027765","doi":"10.1139/tcsme-2020-0202","title":"Integrated simulation platform for a locomotive braking system","year":2022,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Automotive engineering; Dynamic braking; Electronic brakeforce distribution; Braking system; Engine braking; Threshold braking; Brake; Retarder; Anti-lock braking system; Engineering; Braking distance; Hydraulic brake","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002098775,0.0001564775,0.0001896902,0.00007762818,0.0003849287,0.00001800868,0.0002439874,0.00009700879,0.000009701395],"category_scores_gemma":[0.00001885602,0.0001612841,0.0005285559,0.0003503741,0.00001054209,0.00006940232,0.000005981233,0.0002957382,2.137394e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001310084,"about_ca_system_score_gemma":0.00009837666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008460593,"about_ca_topic_score_gemma":0.00169639,"domain_scores_codex":[0.9991617,0.00000385218,0.0002453134,0.000130551,0.000133048,0.0003255104],"domain_scores_gemma":[0.9994435,0.0001594666,0.00002821924,0.0001962338,0.0000530651,0.0001194654],"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":[0.000004523596,0.000004461693,2.621761e-7,0.000231032,0.0001295232,9.256501e-8,0.0001957174,0.9939198,0.001170163,0.00340566,0.00006011849,0.0008786096],"study_design_scores_gemma":[0.0003310996,0.00003952062,0.000002680717,0.00003930802,0.00006848772,0.00000519295,0.000384247,0.991845,0.001134977,0.00005444319,0.005928805,0.0001662939],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006425312,0.00004146672,0.9905457,0.00003847974,0.001009617,0.0006658381,0.0009389961,0.0003009334,0.00003362036],"genre_scores_gemma":[0.9858803,0.00000115972,0.01359036,0.00001499736,0.00003538985,0.0003229371,0.00003326213,0.0000705214,0.00005103877],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9794551,"threshold_uncertainty_score":0.6576973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01116887278147222,"score_gpt":0.1948821465629292,"score_spread":0.183713273781457,"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."}}