{"id":"W2589752312","doi":"10.1049/iet-gtd.2016.1423","title":"Comprehensive assessment of virtual synchronous machine based voltage source converter controllers","year":2017,"lang":"en","type":"article","venue":"IET Generation Transmission & Distribution","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":110,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Umm Al-Qura University","keywords":"Converters; Inertia; Computer science; Voltage source; Synchronous motor; Power (physics); Stability (learning theory); Control engineering; Voltage; Engineering; Control theory (sociology); Control (management); Electrical engineering","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":[0.001348344,0.0005663993,0.0006617201,0.001009328,0.0003001896,0.001285954,0.0005298783,0.0004601357,0.001669833],"category_scores_gemma":[0.003423758,0.0001637758,0.0002922503,0.0005353224,0.0002467459,0.001000705,0.0004061712,0.0002628045,0.0001861924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004425312,"about_ca_system_score_gemma":0.000482044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009986151,"about_ca_topic_score_gemma":0.0008679748,"domain_scores_codex":[0.9992532,0.000221444,0.00005398056,0.00006750665,0.0003643078,0.00003953183],"domain_scores_gemma":[0.9982158,0.0008416102,0.000143822,0.0001842669,0.0005487684,0.0000657381],"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":[0.0007609066,0.0002236656,0.004133306,0.0003765978,0.000118651,0.0000947272,0.0000671628,0.7635829,0.009768245,0.01200752,0.0006335274,0.2082327],"study_design_scores_gemma":[0.00003799703,0.0009762825,0.003375497,0.00003590471,0.00005260515,0.00006737483,0.00003833466,0.9847959,0.006626984,0.002215901,0.001762786,0.00001442139],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6147159,0.004607395,0.3384712,0.0002205289,0.00008525437,0.0003577295,0.0002643181,0.0009415256,0.04033633],"genre_scores_gemma":[0.9904395,0.0003085558,0.008414067,0.000008834124,0.00001057627,0.00003267973,0.00008306219,0.00001149655,0.0006912285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001669833,"threshold_uncertainty_score":0.007130802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009880227235652059,"score_gpt":0.2322119608226796,"score_spread":0.2223317335870275,"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."}}