{"id":"W4284886265","doi":"10.1109/itec53557.2022.9813896","title":"Simulating Electric Refuse Collecting Vehicle Performance: Permanent Magnet Versus Switched Reluctance Traction Motor","year":2022,"lang":"en","type":"article","venue":"","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Switched reluctance motor; Automotive engineering; Traction motor; Traction (geology); Torque ripple; Magnet; Torque; Idle; Computer science; Electric motor; Rotor (electric); Reluctance motor; Brushed DC electric motor; Electric vehicle; AC motor; Engineering; Voltage; Mechanical engineering; Induction motor; Electrical engineering; Direct torque control; Power (physics); Physics","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":[0.0001684205,0.0004710219,0.0003447661,0.0003282133,0.0001935593,0.0003931235,0.000526527,0.0006775658,0.003034801],"category_scores_gemma":[0.0004132419,0.0001816047,0.0004078141,0.0002020886,0.0002074758,0.0002806644,0.0002258014,0.0003435269,0.000348752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003567407,"about_ca_system_score_gemma":0.0003059014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009080179,"about_ca_topic_score_gemma":0.006109141,"domain_scores_codex":[0.9999255,0.00001663179,0.000004560868,0.00001267954,0.00002204464,0.00001861701],"domain_scores_gemma":[0.9997888,0.0001098869,0.00002912555,0.00001444233,0.00004513562,0.00001265878],"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":[0.0002862802,0.0001079791,0.002820289,0.000146178,0.00001673848,0.0001126645,0.00009131567,0.9804361,0.008976853,0.0004602463,0.0002563513,0.006288967],"study_design_scores_gemma":[0.00001928042,0.0002493995,0.00140618,0.000009616369,0.00001274735,0.0000161117,0.00005985115,0.9925871,0.005044464,0.00008436164,0.0005040893,0.000006658675],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9636716,0.0001440481,0.02163782,0.00008256793,0.0000240959,0.00008608006,0.0004301236,0.0003940862,0.01352963],"genre_scores_gemma":[0.9951297,0.00006059129,0.002531838,0.000005878752,0.000001418604,0.00003394474,0.00009930808,0.00001471221,0.00212257],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009080179,"threshold_uncertainty_score":0.01805466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01564045617497052,"score_gpt":0.2232711669870258,"score_spread":0.2076307108120553,"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."}}