{"id":"W2132402542","doi":"10.1109/pes.2007.386004","title":"PMU Challenges and Performance Issues","year":2007,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Manitoba Hydro","funders":"","keywords":"Installation; Documentation; Phasor measurement unit; Phasor; Instrumentation (computer programming); Computer science; Units of measurement; Electric power system; Systems engineering; Power grid; Grid; Reliability engineering; Engineering; Power (physics); Operating system","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":[0.0008368681,0.0002315301,0.0002182426,0.00004114235,0.00007054141,0.00003526809,0.0001060011,0.0001317749,0.000008877903],"category_scores_gemma":[0.0000252291,0.000247095,0.00008691329,0.0001170753,0.0000237015,0.0001620008,0.00002360413,0.000188683,0.000007060435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007480007,"about_ca_system_score_gemma":0.000005147582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003775438,"about_ca_topic_score_gemma":0.000002669302,"domain_scores_codex":[0.9988415,0.00001057816,0.0002994087,0.0002298812,0.0001763522,0.0004422971],"domain_scores_gemma":[0.9995431,0.00006034768,0.00002590297,0.0001968932,0.0000442295,0.0001295801],"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":[0.00001196915,0.00004266323,0.002905593,0.001544846,0.0002701458,0.000008302086,0.01896814,0.9068419,0.05484661,0.0007283592,0.002090833,0.01174065],"study_design_scores_gemma":[0.0004036737,0.00005204442,0.01366128,0.0001827946,0.00001692872,0.00002501735,0.0005860942,0.9372638,0.02471648,0.000006270001,0.02230914,0.0007764852],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.918151,0.0168739,0.05623794,0.0000804654,0.001705361,0.0001619666,0.000002974131,0.001129932,0.005656452],"genre_scores_gemma":[0.9790505,0.002223343,0.01836708,0.00002966179,0.0001395311,0.000008064903,0.000001726793,0.00005551059,0.0001246022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06089947,"threshold_uncertainty_score":0.9999982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01059699937374316,"score_gpt":0.212949647555151,"score_spread":0.2023526481814079,"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."}}