{"id":"W2003703327","doi":"10.1115/jrc2009-63019","title":"Reducing Energy Costs With Electric, Diesel and Dual-Powered Locomotives","year":2009,"lang":"en","type":"article","venue":"","topic":"Railway Systems and Energy Efficiency","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bombardier (Canada)","funders":"","keywords":"Automotive engineering; Energy consumption; Catenary; Engineering; Efficient energy use; Regenerative brake; Powertrain; Diesel fuel; Electric vehicle; Fuel efficiency; Battery electric vehicle; Electrical engineering; Power (physics); Torque","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0003792942,0.0006850084,0.0002979397,0.001385613,0.0004692685,0.001404657,0.0008283712,0.0006701585,0.01634897],"category_scores_gemma":[0.001171421,0.0001979083,0.0005631947,0.001526289,0.0003510219,0.001862728,0.001303562,0.0004779083,0.004934416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001049239,"about_ca_system_score_gemma":0.0009505946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003411918,"about_ca_topic_score_gemma":0.006558279,"domain_scores_codex":[0.9994392,0.00005385382,0.00002346609,0.00006471783,0.0003448707,0.0000738521],"domain_scores_gemma":[0.9994743,0.00005988864,0.00005847677,0.00006269126,0.000286054,0.00005852168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003487685,0.0004801879,0.0070018,0.001737727,0.00009008964,0.0002845014,0.0002255174,0.008331207,0.02621488,0.03969651,0.01738938,0.8981994],"study_design_scores_gemma":[0.0001315979,0.001353515,0.0584491,0.001186326,0.0002089014,0.001569662,0.001815383,0.008528432,0.0298485,0.03152518,0.8652461,0.0001373141],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3674615,0.02537043,0.163986,0.007323218,0.001405094,0.0006623084,0.001653927,0.001681887,0.4304557],"genre_scores_gemma":[0.7461545,0.01395347,0.07019402,0.001067871,0.0002452942,0.0002259953,0.001633832,0.0003441182,0.1661809],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01634897,"threshold_uncertainty_score":0.0546928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003368862267697009,"score_gpt":0.1722303881880466,"score_spread":0.1688615259203496,"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."}}