{"id":"W2496235815","doi":"10.1007/978-3-319-30084-9_19","title":"Vibro-Acoustic Modal Model of a Traction Motor for Railway Applications","year":2016,"lang":"en","type":"book-chapter","venue":"Conference proceedings of the Society for Experimental Mechanics","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Bombardier (Canada)","funders":"","keywords":"Modal; Traction (geology); Acoustics; Traction motor; Computer science; Engineering; Automotive engineering; Materials science; Physics; Mechanical engineering; Composite material","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":[0.0001271088,0.0004327581,0.000305535,0.0002365254,0.0003130238,0.0004833858,0.0007930823,0.001108613,0.007357567],"category_scores_gemma":[0.0002032542,0.0002498523,0.0003885855,0.0001789926,0.0002875112,0.0005397443,0.0003785046,0.0004964976,0.001387417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003028169,"about_ca_system_score_gemma":0.0003675927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003513176,"about_ca_topic_score_gemma":0.004236875,"domain_scores_codex":[0.9999373,0.00001214179,0.000002286322,0.00001041008,0.00003121867,0.00000665172],"domain_scores_gemma":[0.999952,0.00001901516,0.000004418323,0.000004918401,0.00001646157,0.000003293793],"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":[0.0000926252,0.00006480196,0.0003623526,0.0001454537,0.00002776671,0.000196122,0.0002118369,0.9050131,0.03142948,0.02505486,0.003740402,0.03366126],"study_design_scores_gemma":[0.000003411908,0.00002103842,0.0001814179,0.000005729346,0.000004273431,0.00003063855,0.00001941165,0.99528,0.0004462147,0.002141611,0.001861433,0.000004855704],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05629908,0.000822457,0.8598083,0.0006375616,0.0002009336,0.00008881121,0.0004013074,0.0007427949,0.08099876],"genre_scores_gemma":[0.8867096,0.0007834879,0.0249166,0.0001609646,0.00006402291,0.0001864287,0.0004118652,0.0001818941,0.08658518],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007357567,"threshold_uncertainty_score":0.0246135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02332694753214769,"score_gpt":0.2301613553491439,"score_spread":0.2068344078169962,"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."}}