{"id":"W3169336403","doi":"10.1109/tia.2021.3086083","title":"Emulation of an Induction Machine for Unbalanced Grid Faults","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Industry Applications","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Emulation; Microgrid; Grid; Hardware-in-the-loop simulation; Fault (geology); Hardware emulation; Interface (matter); Computer science; Control engineering; Engineering; Power (physics); Control theory (sociology); Voltage; Embedded system; Field-programmable gate array; Electrical engineering; Control (management)","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":[0.00007926436,0.000134803,0.0001797891,0.0001084732,0.0001390579,0.00002123451,0.00008520346,0.000295209,0.0001021715],"category_scores_gemma":[0.000002875089,0.0001541329,0.00008683635,0.0004186398,0.00002140153,0.0002194721,3.590722e-7,0.0002936649,0.00001569842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006449722,"about_ca_system_score_gemma":0.00003881805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001739505,"about_ca_topic_score_gemma":0.00003055931,"domain_scores_codex":[0.9991177,0.00003029749,0.0003606165,0.000213087,0.000136314,0.0001419367],"domain_scores_gemma":[0.9992355,0.00006776808,0.00006591061,0.0003730321,0.000171498,0.00008629767],"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":[0.0000200302,0.0001513094,0.00001576986,0.00004585568,0.00005653756,1.882893e-7,0.00006225619,0.9100415,0.04510042,0.0003075119,0.00006056996,0.04413807],"study_design_scores_gemma":[0.001833907,0.0000888321,0.001336272,0.00004657555,0.0001084357,0.00001949762,0.000265808,0.7645994,0.2207101,0.0005107227,0.01010945,0.0003710638],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05154049,0.00002930632,0.945276,0.0001085627,0.0004137142,0.0007149599,0.0003186878,0.0002676864,0.001330568],"genre_scores_gemma":[0.997287,0.000008794583,0.001149674,0.00002241158,0.00018842,0.0008039572,0.0001481478,0.00003160385,0.000359991],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9457465,"threshold_uncertainty_score":0.6285357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01532289592821585,"score_gpt":0.2607337070706585,"score_spread":0.2454108111424427,"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."}}