{"id":"W4252270095","doi":"10.32920/ryerson.14650086","title":"Harmonics in commercial building power systems","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Power Quality and Harmonics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Harmonics; Electric power system; Harmonic; Power (physics); Computer science; Electrical engineering; Electronic engineering; Nonlinear system; Reliability engineering; Telecommunications; Engineering; Voltage; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000404215,0.0003058699,0.000534179,0.0001498603,0.00002782901,0.0002659438,0.0003651419,0.0005269002,0.000147704],"category_scores_gemma":[0.0000271554,0.0003552772,0.000140821,0.0001429677,0.00001891334,0.00008430994,0.0004455982,0.001325444,0.00002744586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002848296,"about_ca_system_score_gemma":0.00009151018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003123082,"about_ca_topic_score_gemma":0.0001785184,"domain_scores_codex":[0.998464,0.00007404436,0.0005283371,0.0003212162,0.0002264222,0.0003859575],"domain_scores_gemma":[0.9992274,0.00006530156,0.0000434546,0.0005283965,0.00004322775,0.00009224116],"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":[0.00001684302,0.0002250438,0.001351459,0.003759271,0.0004984763,0.0004401254,0.006792669,0.9360753,0.002015731,0.03124766,0.0157627,0.001814772],"study_design_scores_gemma":[0.001894835,0.00004440624,0.01020814,0.003947954,0.000154542,0.00006112613,0.004028543,0.8344571,0.005782563,0.001628764,0.1332087,0.004583357],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8516474,0.01567536,0.07459339,0.0002915817,0.01222652,0.0006172227,0.0000819275,0.001138642,0.04372795],"genre_scores_gemma":[0.9974177,0.0006199459,0.001506651,0.00009887153,0.00007124356,0.00003892029,0.00005017306,0.00006226782,0.000134228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1457703,"threshold_uncertainty_score":0.9998899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03561438466414097,"score_gpt":0.2650220907864991,"score_spread":0.2294077061223581,"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."}}