{"id":"W2324488783","doi":"10.1109/itec-ap.2014.6940843","title":"Hybrid electric locomotive powertrains","year":2014,"lang":"en","type":"article","venue":"","topic":"Electric and Hybrid Vehicle Technologies","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Canada Research Chairs","keywords":"Powertrain; Automotive engineering; Electric locomotive; Traction motor; Electric cars; Computer science; Electrical engineering; Engineering; Torque; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000126366,0.0003051522,0.0001988148,0.0004841367,0.0002179289,0.000569264,0.0005498417,0.0003101995,0.006385969],"category_scores_gemma":[0.0001522547,0.00008693138,0.0002331723,0.0005739221,0.0001797976,0.0008584743,0.0004378053,0.0002524256,0.001254649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00026115,"about_ca_system_score_gemma":0.0001765779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001064572,"about_ca_topic_score_gemma":0.001738385,"domain_scores_codex":[0.9998641,0.000009918156,0.000008723368,0.00002250774,0.00007950671,0.00001526306],"domain_scores_gemma":[0.9999398,0.000007663276,0.000004869811,0.000007359179,0.0000340582,0.000006167288],"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":[0.0002387842,0.0001825694,0.00438297,0.001377254,0.0001179319,0.001089263,0.0002012163,0.0167134,0.1018837,0.07581286,0.01221143,0.7857885],"study_design_scores_gemma":[0.00006620845,0.001027731,0.01293904,0.0002673463,0.00009634321,0.003693602,0.0004339736,0.04870794,0.05813403,0.02214913,0.85241,0.00007472417],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2128313,0.03114066,0.4588215,0.0007829342,0.002018346,0.0004293854,0.001415929,0.002223297,0.2903368],"genre_scores_gemma":[0.826983,0.009954952,0.03604762,0.000243912,0.0001367169,0.0001068857,0.001399457,0.00006618967,0.1250613],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006385969,"threshold_uncertainty_score":0.02136326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003982395791096821,"score_gpt":0.1749082149247834,"score_spread":0.1709258191336866,"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."}}