{"id":"W4386290176","doi":"10.1061/9780784484869.036","title":"Shaft End Generator for Freight Train","year":2023,"lang":"en","type":"article","venue":"","topic":"Magnetic Bearings and Levitation Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Education and Child Care","funders":"","keywords":"Train; Axle; Automotive engineering; Rail freight transport; Generator (circuit theory); Engineering; Electric generator; Powertrain; Computer science; Power (physics); Electrical engineering; Torque; Mechanical engineering","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":[0.0001520765,0.0003271177,0.0002156377,0.0004111128,0.0002979499,0.0003415253,0.0005726328,0.0003863712,0.01107353],"category_scores_gemma":[0.0002546323,0.00008944559,0.0001845854,0.0002290228,0.0001982277,0.0004551414,0.0003481816,0.000396516,0.003605381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001966535,"about_ca_system_score_gemma":0.0001734302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002169932,"about_ca_topic_score_gemma":0.0002662046,"domain_scores_codex":[0.9998258,0.00002962779,0.000008035551,0.00003443915,0.00008843682,0.00001371808],"domain_scores_gemma":[0.9998771,0.00002756469,0.00001946363,0.00002081462,0.00004377338,0.00001139482],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004968554,0.0001418818,0.002406969,0.001313899,0.00003182242,0.001086282,0.0002895057,0.007046464,0.389096,0.02476748,0.03054891,0.5427739],"study_design_scores_gemma":[0.0002537422,0.002375011,0.01060643,0.0001923562,0.00008266899,0.005544097,0.0001634933,0.07991666,0.3036818,0.008273067,0.5887659,0.000144861],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08570634,0.004252939,0.8171256,0.001203653,0.001559497,0.0005401737,0.001073629,0.00849224,0.08004591],"genre_scores_gemma":[0.8355162,0.00128979,0.07998557,0.0004213235,0.000389676,0.0002071267,0.0008608502,0.0002994836,0.08102999],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01107353,"threshold_uncertainty_score":0.03704464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01520677649082873,"score_gpt":0.2181721178665778,"score_spread":0.2029653413757491,"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."}}