{"id":"W2168574684","doi":"10.1109/tpwrd.2004.829148","title":"Artificial Intelligent Controller for Current Source Converter-Based Modular Active Power Filters","year":2004,"lang":"en","type":"article","venue":"IEEE Transactions on Power Delivery","topic":"Power Quality and Harmonics","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Total harmonic distortion; Active filter; Electronic engineering; Control theory (sociology); Engineering; Harmonics; Controller (irrigation); Harmonic; Voltage source; Topology (electrical circuits); Power factor; Computer science; Voltage; Electrical engineering; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001353907,0.0003349853,0.0003314626,0.000223406,0.0001813035,0.00005640546,0.0001930503,0.000161536,0.0001951014],"category_scores_gemma":[0.000004937909,0.0003606769,0.0004053197,0.0001590816,0.00008395708,0.0001911537,0.00000105743,0.0004249754,0.0001970359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003508477,"about_ca_system_score_gemma":0.00008510805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001917461,"about_ca_topic_score_gemma":0.00002060756,"domain_scores_codex":[0.9984841,0.00003515916,0.0004193634,0.000347463,0.0002666438,0.000447298],"domain_scores_gemma":[0.999225,0.0001458839,0.00005069121,0.0002971186,0.000104113,0.0001772193],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008070972,0.0007292566,4.429365e-7,0.00006802733,0.0003488962,0.000005662877,0.001690446,0.9413708,0.01171911,0.0002360756,0.0004381715,0.04258597],"study_design_scores_gemma":[0.004375623,0.0008620018,0.00002944527,0.0002385118,0.0002929601,0.000007617868,0.000741286,0.2438542,0.7067841,0.001169064,0.04026546,0.001379746],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07893895,0.0001814088,0.9167815,0.0001711356,0.002565776,0.0005811916,0.0003423355,0.0003478227,0.00008982633],"genre_scores_gemma":[0.9988735,0.00005125354,0.000375859,0.0003950742,0.00003484925,0.0001463263,0.00001312202,0.00006985321,0.00004017671],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9199345,"threshold_uncertainty_score":0.9998845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02921138506553439,"score_gpt":0.2464960605772999,"score_spread":0.2172846755117656,"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."}}