{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008437457,0.001062494,0.0006739612,0.005257315,0.003550106,0.001966231,0.002855247,0.0008323828,0.008030806],"category_scores_gemma":[0.01214859,0.000684716,0.0007735983,0.002343142,0.001551662,0.0009387357,0.002163738,0.001492452,0.002200348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01367375,"about_ca_system_score_gemma":0.0428895,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8042555,"about_ca_topic_score_gemma":0.8511909,"domain_scores_codex":[0.9868051,0.0009038895,0.0003225503,0.001037851,0.009961477,0.0009691143],"domain_scores_gemma":[0.9569618,0.001854201,0.0008814073,0.001086557,0.03793293,0.001283234],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002233671,0.001254325,0.1358718,0.000986766,0.0002331693,0.001707592,0.007560265,0.02137662,0.1674471,0.009458162,0.08979414,0.5620764],"study_design_scores_gemma":[0.0002408242,0.001789003,0.4060309,0.0004127139,0.0001891861,0.0005488441,0.005786524,0.03721841,0.1640234,0.0019193,0.3812306,0.0006103068],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4567443,0.001803152,0.2712686,0.002854419,0.0007863461,0.01694615,0.02864412,0.00884778,0.2121052],"genre_scores_gemma":[0.6766971,0.0009261767,0.2024449,0.001022846,0.00006485934,0.003388392,0.01597959,0.00138123,0.09809493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1957445,"threshold_uncertainty_score":0.3937944,"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."}}