{"id":"W4385236367","doi":"10.1109/itec55900.2023.10187054","title":"Design Considerations for Electric Traction Power Systems","year":2023,"lang":"en","type":"article","venue":"","topic":"Railway Systems and Energy Efficiency","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Electrification; Upgrade; Transit system; Transit (satellite); Electric power system; Sustainability; Transport engineering; Automotive engineering; Public transport; Engineering; Power (physics); Computer science; Electrical engineering; Electricity","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001705789,0.00006415849,0.0000802771,0.0001143726,0.00007857245,0.00005001527,0.00002377108,0.00004705167,0.00002946103],"category_scores_gemma":[0.00003138957,0.00005760022,0.00002726113,0.0002425172,0.000002387462,0.00007162119,0.000001442261,0.00003058082,0.0001271388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002867333,"about_ca_system_score_gemma":0.00001285415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001920906,"about_ca_topic_score_gemma":0.000003514988,"domain_scores_codex":[0.9995353,0.00001117726,0.0001400252,0.00008103972,0.00006224021,0.0001702067],"domain_scores_gemma":[0.9996559,0.0001906436,0.00001006745,0.00008365628,0.00003022517,0.00002948686],"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":[7.752267e-7,0.000003880968,0.000002041927,0.00001752245,0.00001246472,0.000001084217,0.00007222017,0.9139447,0.03117472,0.007194404,0.04747691,0.00009928571],"study_design_scores_gemma":[0.0001050515,0.00003254949,0.00008185433,0.000005034489,0.000004223518,0.00001114997,0.0000946856,0.9902915,0.002799667,0.0002015329,0.006277907,0.00009483624],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02734625,0.0002382681,0.9451659,0.00007629608,0.002091456,0.000541524,0.000002980613,0.00203002,0.02250729],"genre_scores_gemma":[0.9972602,0.0000128105,0.0003884465,0.000007721643,0.00004432755,0.0001513035,0.000002667844,0.00001970523,0.002112794],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.969914,"threshold_uncertainty_score":0.2348869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03369536784059517,"score_gpt":0.22759855494727,"score_spread":0.1939031871066748,"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."}}