{"id":"W2397684661","doi":"10.1109/tpel.2015.2508422","title":"Smart Grid Connection of an Induction Motor Using a Three-Phase Floating H-bridge System as a Series Compensator","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Power Electronics","topic":"Power Quality and Harmonics","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; University of Alberta","keywords":"Voltage sag; Power factor; AC power; Voltage optimisation; Engineering; Voltage regulation; Electric power system; Voltage; Induction motor; Electrical engineering; Control theory (sociology); Power (physics); Computer science; Power quality","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004389618,0.0002772649,0.0003535175,0.0002335289,0.0001848912,0.00005437733,0.0001500486,0.0002033968,0.0000229487],"category_scores_gemma":[0.000008987978,0.0003209073,0.0001256607,0.0003841867,0.00005725056,0.0006542653,0.000001345827,0.0005224523,0.0000245394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007573005,"about_ca_system_score_gemma":0.0002461412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001907827,"about_ca_topic_score_gemma":0.0003231666,"domain_scores_codex":[0.9983436,0.0000999157,0.0004960146,0.0002770431,0.0003409571,0.0004423943],"domain_scores_gemma":[0.9991045,0.00003624277,0.000109966,0.0003745048,0.0001710863,0.0002036873],"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":[0.002170079,0.001861693,0.00002158081,0.0008498899,0.001146119,0.00004590023,0.008383004,0.5056752,0.4633961,0.006669367,0.000220997,0.009560074],"study_design_scores_gemma":[0.003403532,0.003570559,0.00004141641,0.0002173092,0.0002899201,0.0005812973,0.002166964,0.447987,0.5371273,0.0003417579,0.003383009,0.0008899534],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6615651,0.0002098061,0.3355736,0.00001813552,0.00169492,0.0002652998,0.00007718831,0.0004264112,0.0001695263],"genre_scores_gemma":[0.9987084,0.00002146707,0.001052678,0.00002017324,0.00007473823,0.00001950395,0.00001385313,0.00006997261,0.00001923682],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3371433,"threshold_uncertainty_score":0.9999243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04795887378018659,"score_gpt":0.2839344323907715,"score_spread":0.2359755586105849,"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."}}