{"id":"W2163582698","doi":"10.1109/pess.2001.970244","title":"Fuzzy time domain and Z-transform modeling for harmonic electric loads","year":2001,"lang":"en","type":"article","venue":"","topic":"Power Quality and Harmonics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Harmonics; Fuzzy logic; Admittance; Control theory (sociology); Nonlinear system; Harmonic; Harmonic analysis; Time domain; Electrical load; Frequency domain; Computer science; Mathematics; Mathematical optimization; Engineering; Mathematical analysis; Voltage; Electrical impedance; Artificial intelligence; Acoustics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001873349,0.0002994681,0.0002245063,0.0001676144,0.0001645279,0.0003957813,0.0003427712,0.0003622762,0.001553171],"category_scores_gemma":[0.000445759,0.0001042529,0.0003378285,0.0002037385,0.0002381665,0.0005448792,0.0001890522,0.0003377007,0.0004408016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002314473,"about_ca_system_score_gemma":0.0002428984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00284893,"about_ca_topic_score_gemma":0.002227935,"domain_scores_codex":[0.9999257,0.00001993637,0.000003605457,0.0000125268,0.00003314091,0.000005084791],"domain_scores_gemma":[0.9999384,0.00002758282,0.00000995742,0.000006566049,0.0000150218,0.00000248665],"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":[0.00007159416,0.00001552118,0.0002111701,0.00003698255,0.00001105009,0.0000521638,0.00005411369,0.9257035,0.01111406,0.0230502,0.0002601325,0.0394196],"study_design_scores_gemma":[0.000002258203,0.00000994418,0.00004631317,0.000001627482,0.000001772132,0.0000114114,0.000004629981,0.996247,0.00104521,0.002126148,0.000501611,0.000002195717],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01395506,0.00004272008,0.9840565,0.0000349933,0.000008165161,0.00001069833,0.00001817972,0.0001016783,0.001772071],"genre_scores_gemma":[0.814794,0.0003168254,0.1770453,0.00003837869,0.00001840938,0.00005925959,0.00009567768,0.00005955511,0.007572641],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00284893,"threshold_uncertainty_score":0.005664706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01946154144263223,"score_gpt":0.2313204130881204,"score_spread":0.2118588716454882,"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."}}