{"id":"W4293080407","doi":"10.1049/icp.2022.1117","title":"Comparative study of Swing Equation-based and full emulation-based Virtual Synchronous Generators","year":2022,"lang":"en","type":"article","venue":"IET conference proceedings.","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Emulation; Swing; Computer science; Synchronous motor; Transient (computer programming); Voltage source; Electrical impedance; Voltage; Permanent magnet synchronous generator; Control theory (sociology); Representation (politics); Generator (circuit theory); Electric power system; Power (physics); Control engineering; Electronic engineering; Engineering; Electrical engineering; Artificial intelligence; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001440435,0.0001548413,0.0002457628,0.0001398517,0.000181901,0.00006521797,0.0001164662,0.00003169586,0.0001238626],"category_scores_gemma":[0.00001660338,0.0001700184,0.00002529441,0.0002550328,0.00002787294,0.0001220304,0.00002801767,0.0001422167,0.000001422222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006901393,"about_ca_system_score_gemma":0.00007245575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000216929,"about_ca_topic_score_gemma":0.00001538101,"domain_scores_codex":[0.9991087,0.00001697065,0.0002809344,0.0002044823,0.0002355208,0.0001533444],"domain_scores_gemma":[0.9995386,0.0000430566,0.00009619648,0.00006561248,0.0002066649,0.00004985037],"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":[0.00005400958,0.0001433725,0.01026585,0.000039403,0.00004246423,6.719632e-7,0.004619942,0.9725495,0.01050157,0.0002291001,0.00007594724,0.001478167],"study_design_scores_gemma":[0.001155068,0.0005200167,0.002111547,0.00001186843,0.00003373805,5.737014e-7,0.003535455,0.9900399,0.0023451,0.00002203248,0.00004475288,0.0001798922],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9755656,0.0001256587,0.02338189,0.00002344523,0.0001120148,0.0004514327,0.00001566115,0.0001327464,0.0001915319],"genre_scores_gemma":[0.998922,0.000002891255,0.0008420234,0.00002614638,0.00003246598,0.0001318057,0.00002349063,0.00001627569,0.00000291424],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02335637,"threshold_uncertainty_score":0.693315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02043221619810623,"score_gpt":0.221749276459578,"score_spread":0.2013170602614717,"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."}}