{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001062567,0.0002682656,0.0002867808,0.000279505,0.0002127528,0.0005310094,0.0003720016,0.0003225183,0.004386141],"category_scores_gemma":[0.000354223,0.000116487,0.0001738184,0.0004680906,0.0001513297,0.0003931882,0.0002282119,0.0003820642,0.001152701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001860055,"about_ca_system_score_gemma":0.00008814493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004397417,"about_ca_topic_score_gemma":0.0005958609,"domain_scores_codex":[0.9997186,0.00006106227,0.000009470863,0.00003599759,0.0001451176,0.00002973747],"domain_scores_gemma":[0.9998822,0.00001758227,0.00001782532,0.00003008045,0.00004473664,0.000007475217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006365151,0.0001360886,0.001396918,0.0003634786,0.0001262521,0.0003314642,0.0002042384,0.03578492,0.6953796,0.02782828,0.004674553,0.2331377],"study_design_scores_gemma":[0.0003048146,0.001334404,0.004612395,0.00009736404,0.0002207626,0.001124646,0.0001049065,0.2227781,0.6433414,0.0280442,0.09798151,0.00005539521],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4250934,0.004227906,0.4378315,0.0006172296,0.0004322634,0.0002797876,0.0008240012,0.006735691,0.1239583],"genre_scores_gemma":[0.9743861,0.000710816,0.01612239,0.00005932061,0.00004586631,0.00003026387,0.0001209523,0.00005813787,0.008466136],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004386141,"threshold_uncertainty_score":0.01467305,"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."}}