{"id":"W2208595637","doi":"10.1109/pesc.1997.616746","title":"Multilevel converters as series VAr compensators","year":2002,"lang":"en","type":"article","venue":"","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Converters; Control theory (sociology); Transformer; Capacitor; Series (stratigraphy); Voltage; Static VAR compensator; Feedback loop; Series and parallel circuits; Line (geometry); Computer science; Engineering; AC power; Mathematics; 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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00003287409,0.0002336919,0.0002137735,0.00007869985,0.00006471143,0.0000503932,0.0001968711,0.00008825724,0.008639598],"category_scores_gemma":[0.000005880593,0.0002200457,0.00008530144,0.00008444435,0.00006917236,0.0002855908,0.00002543018,0.0001282482,0.002969775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004722598,"about_ca_system_score_gemma":0.000003601545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005075562,"about_ca_topic_score_gemma":0.00001052601,"domain_scores_codex":[0.9990568,0.00001269926,0.0002203314,0.0001984322,0.0001623615,0.0003493621],"domain_scores_gemma":[0.9994996,0.00002632874,0.00001652723,0.0002695522,0.00002491057,0.0001630518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000263383,0.0001370521,0.00304001,0.0002271466,0.0004769125,0.0001547778,0.005144961,0.001356833,0.009676888,0.00839398,0.3244996,0.6468654],"study_design_scores_gemma":[0.0005640332,0.0000314734,0.001058279,0.0000166299,0.0000137135,0.000031545,0.0003243097,0.952701,0.005675772,0.0001002628,0.0390621,0.0004209248],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.319733,0.0006974696,0.0906841,0.001302991,0.00659137,0.001061152,0.00006032347,0.006120297,0.5737494],"genre_scores_gemma":[0.9911281,0.00008880021,0.0007731948,0.0009572357,0.00004799427,0.00001710063,0.000004292132,0.00004701034,0.006936221],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9513441,"threshold_uncertainty_score":0.9978065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01702948487652566,"score_gpt":0.1844889990552733,"score_spread":0.1674595141787477,"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."}}