{"id":"W3215884228","doi":"10.1109/mper.2002.4312613","title":"A \"Critical-Impedance\" Based Method for Identifying Harmonic Sources","year":2002,"lang":"en","type":"article","venue":"IEEE Power Engineering Review","topic":"Power Quality and Harmonics","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Harmonic; Electrical impedance; Computer science; Harmonic analysis; Field (mathematics); Power (physics); Point (geometry); Electronic engineering; Engineering; Acoustics; Mathematics; Physics; Electrical 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007249643,0.0003494303,0.0005883831,0.0001095288,0.00006988127,0.00008620292,0.0003239787,0.0001119992,0.0003759185],"category_scores_gemma":[0.000403686,0.0003721784,0.0003407665,0.0003242793,0.00002095826,0.0002282702,0.00001667258,0.0003147132,0.00017144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008876609,"about_ca_system_score_gemma":0.00001052682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001525247,"about_ca_topic_score_gemma":5.293136e-7,"domain_scores_codex":[0.9982333,0.00003795775,0.0005569502,0.0003170742,0.0002386321,0.0006160483],"domain_scores_gemma":[0.9986759,0.0005560321,0.00003961524,0.0004631758,0.00007294784,0.0001923363],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002808186,0.0006243412,0.0000329644,0.2704861,0.001458564,0.0001711171,0.002735325,0.2210948,0.08522319,0.01659442,0.2494028,0.1521483],"study_design_scores_gemma":[0.0003346639,0.00003641193,0.00001324975,0.004409579,0.0001778549,0.0000198356,0.000005568389,0.5717296,0.007461563,0.00008242129,0.4150721,0.0006571285],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0003032628,0.2451019,0.7511293,0.0005060647,0.001305693,0.0004532334,0.00003472191,0.0008106634,0.0003551611],"genre_scores_gemma":[0.5457019,0.09323887,0.3525764,0.004896769,0.0007505245,0.001564989,0.00003346688,0.0007249528,0.000512103],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5453987,"threshold_uncertainty_score":0.999873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06974675525447872,"score_gpt":0.3280380768655918,"score_spread":0.2582913216111131,"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."}}