{"id":"W2151816727","doi":"10.1109/mper.2001.4311174","title":"Modeling Analysis and Control of a Current Source Inverter-Based STATCOM","year":2001,"lang":"en","type":"article","venue":"IEEE Power Engineering Review","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":116,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Control theory (sociology); Overshoot (microwave communication); Inductance; Inner loop; Current (fluid); Current loop; Inverter; Computer science; Rectifier (neural networks); Engineering; Control (management); Voltage; Controller (irrigation); 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001593481,0.0002447639,0.0006251656,0.0002104545,0.00001544275,0.00001624272,0.0001377332,0.00004416476,0.00005982148],"category_scores_gemma":[0.00001517635,0.0002352159,0.0002145248,0.000450484,0.00001468295,0.00008070179,0.000008839691,0.0001554522,0.000006582783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003486249,"about_ca_system_score_gemma":0.00001086228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001879687,"about_ca_topic_score_gemma":0.000003282393,"domain_scores_codex":[0.9989226,0.00001615747,0.000434126,0.0001950413,0.0001678782,0.0002641783],"domain_scores_gemma":[0.9994482,0.00004140064,0.00003623719,0.0002990514,0.00004495483,0.0001301396],"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":[0.000005512778,0.00002851004,0.001640931,0.003746366,0.000567716,0.000005593402,0.00009278068,0.9135495,0.0014453,0.000009669076,0.0001657474,0.07874231],"study_design_scores_gemma":[0.0003295926,0.00001190216,0.0001321457,0.001209526,0.0004768395,0.000002739634,0.00000253694,0.9937527,0.0001348576,0.000001378042,0.003703622,0.0002421506],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02218728,0.0599653,0.9171925,0.00002791017,0.0002439861,0.0001952096,0.00001150319,0.0001580411,0.00001831681],"genre_scores_gemma":[0.9867985,0.01262795,0.0003104596,0.0001693914,0.00001718132,0.00002982805,0.000005158996,0.00003709142,0.000004394628],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9646112,"threshold_uncertainty_score":0.9591825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01557749042791266,"score_gpt":0.2338158112580159,"score_spread":0.2182383208301032,"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."}}