{"id":"W4239235732","doi":"10.18260/1-2--35635","title":"Work in Progress: Exploring Pedagogical Alternatives for Incorporating Simulations in an Introductory Power Electronics Course","year":2020,"lang":"en","type":"article","venue":"2020 ASEE Virtual Annual Conference Content Access Proceedings","topic":"Experimental Learning in Engineering","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Workload; Computer science; Bridging (networking); Workstation; Power electronics; Electronics; Set (abstract data type); Engineering management; Software engineering; Computer engineering; Electrical engineering; Engineering; Voltage; Operating system","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":[0.01509031,0.001133202,0.0005212645,0.001039964,0.001608921,0.008969074,0.003854756,0.001507929,0.01299027],"category_scores_gemma":[0.04079516,0.0006884972,0.0008905113,0.0008249418,0.001202492,0.006926833,0.005980313,0.002717248,0.004986834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001820148,"about_ca_system_score_gemma":0.00405072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007755462,"about_ca_topic_score_gemma":0.001472075,"domain_scores_codex":[0.983556,0.01100091,0.0006451784,0.001485688,0.002373917,0.0009382748],"domain_scores_gemma":[0.9720511,0.01409583,0.001808899,0.003696914,0.003982988,0.004364325],"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":[0.001361653,0.01065004,0.02712569,0.001735588,0.0001835866,0.0004024949,0.02295447,0.01285067,0.02330073,0.02634546,0.01868927,0.8544005],"study_design_scores_gemma":[0.001383837,0.01643119,0.03572481,0.004265669,0.000803409,0.0009005043,0.04350601,0.08953863,0.05120308,0.06396126,0.6916451,0.0006364621],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5497297,0.002433172,0.330321,0.0134425,0.001074533,0.002222159,0.0003889166,0.005422342,0.09496567],"genre_scores_gemma":[0.649712,0.001332465,0.3278404,0.001869545,0.0002155001,0.001530195,0.0008090697,0.0008103793,0.01588056],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01509031,"threshold_uncertainty_score":0.07980615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1504345398869141,"score_gpt":0.3383574215026192,"score_spread":0.1879228816157051,"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."}}