{"id":"W2490878030","doi":"10.1109/tpwrd.2003.817514","title":"A signal processing module for power system applications","year":2003,"lang":"en","type":"article","venue":"IEEE Transactions on Power Delivery","topic":"Power Quality and Harmonics","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Harmonics; Robustness (evolution); Total harmonic distortion; Power factor; Electronic engineering; AC power; Electric power system; Harmonic analysis; Distortion (music); Voltage; Harmonic; Computer science; Engineering; Signal processing; Electrical engineering; Power (physics); Digital signal processing; Amplifier; Acoustics","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":[],"consensus_categories":[],"category_scores_codex":[0.0001668823,0.0002037311,0.0001912898,0.0001399783,0.0002655807,0.00005996585,0.0001319147,0.0001356399,0.0001099361],"category_scores_gemma":[8.568742e-7,0.0002259948,0.000158545,0.0002330661,0.00003442418,0.0002098581,3.67321e-7,0.0002206371,0.0001231081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001707012,"about_ca_system_score_gemma":0.00005704048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002579622,"about_ca_topic_score_gemma":0.000004061131,"domain_scores_codex":[0.9989385,0.00002739237,0.0002876507,0.0002499052,0.0001701166,0.0003264354],"domain_scores_gemma":[0.9994358,0.00007162149,0.00003232048,0.0002513876,0.00009392596,0.0001149031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003339262,0.001896296,0.00001112191,0.002833405,0.00107601,0.00002646765,0.005055762,0.8570944,0.03774721,0.02145784,0.007228813,0.06523873],"study_design_scores_gemma":[0.004500661,0.0006353746,0.00005020732,0.0006073682,0.0005555641,0.0001780488,0.003522841,0.3008445,0.2674933,0.001088422,0.4175158,0.003007985],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005776809,0.0004044276,0.9870166,0.00001991487,0.0004036583,0.0005425981,0.0001437067,0.0006067943,0.005085463],"genre_scores_gemma":[0.9960749,0.00002329295,0.002990166,0.00008377563,0.00001576699,0.0004906953,0.000003539094,0.00005780378,0.000260096],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.990298,"threshold_uncertainty_score":0.92158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01818780734389868,"score_gpt":0.2259509318873129,"score_spread":0.2077631245434142,"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."}}