{"id":"W2146779029","doi":"10.1109/61.853023","title":"A method for determining customer and utility harmonic contributions at the point of common coupling","year":2000,"lang":"en","type":"article","venue":"IEEE Transactions on Power Delivery","topic":"Power Quality and Harmonics","field":"Engineering","cited_by":327,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Total harmonic distortion; Harmonic; Electrical impedance; Revenue; Coupling (piping); Distortion (music); Harmonic analysis; Point (geometry); Power quality; Electronic engineering; Limit (mathematics); Electrical engineering; Engineering; Computer science; Mathematics; Physics; Economics; Voltage; Acoustics; Finance; Mechanical 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004516578,0.0001600769,0.0002463006,0.00006305196,0.0002953147,0.00002134458,0.0001095533,0.0001062748,0.0004309563],"category_scores_gemma":[0.000003313321,0.0001418167,0.0001588278,0.0001229597,0.00009551578,0.0001203281,0.000001547102,0.0002471427,0.00002434135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000887622,"about_ca_system_score_gemma":0.00002181605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004032011,"about_ca_topic_score_gemma":0.00008262041,"domain_scores_codex":[0.99907,0.0000426407,0.0003291325,0.0001801627,0.0001224356,0.0002556342],"domain_scores_gemma":[0.9990039,0.0005617405,0.00003438572,0.0002698434,0.00005628016,0.00007383661],"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":[0.001809855,0.001120236,0.00008899315,0.0006539526,0.001870408,0.00001917316,0.01084795,0.5879768,0.07179584,0.0004677179,0.005868884,0.3174802],"study_design_scores_gemma":[0.002042641,0.0002162887,0.0005722926,0.0001235686,0.0004049906,0.000052534,0.0003851527,0.732437,0.2339807,0.0002829855,0.02896108,0.0005407108],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4617321,0.0004793737,0.5360653,0.0001347235,0.0002112201,0.0003089953,0.0005522061,0.0001149039,0.0004012228],"genre_scores_gemma":[0.9981225,0.0003752137,0.001095277,0.0001227955,0.000007968163,0.00005718341,0.000004956305,0.00002370013,0.0001903991],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5363904,"threshold_uncertainty_score":0.5783115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02223999008414482,"score_gpt":0.2775391380874982,"score_spread":0.2552991480033534,"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."}}