{"id":"W1857122105","doi":"10.1109/pes.2004.1373129","title":"Generating units aggregation for dynamic equivalent of large power systems","year":2004,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2004.","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Electric power system; Stability (learning theory); Computer science; Transient (computer programming); Basis (linear algebra); Control theory (sociology); Domain (mathematical analysis); Dynamic testing; Base (topology); Time domain; Power (physics); Algorithm; Mathematics; Control (management)","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":[0.0007641387,0.0003949496,0.0004618687,0.00008692215,0.0001198518,0.00006927975,0.0002347153,0.0002507001,0.0000143488],"category_scores_gemma":[0.0001211801,0.0004329788,0.0002786773,0.0004592832,0.00002667074,0.0001851572,0.00002662198,0.0002048909,0.000005694018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004683093,"about_ca_system_score_gemma":0.00007321283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002189359,"about_ca_topic_score_gemma":0.000006683249,"domain_scores_codex":[0.9978263,0.00003214087,0.0007758235,0.0003611255,0.000350204,0.0006543482],"domain_scores_gemma":[0.9988958,0.00006556496,0.0001557114,0.0004012542,0.000326297,0.0001553633],"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":[0.000003437225,0.00003419297,0.00004764536,0.0004208525,0.0001140504,7.686908e-7,0.001591396,0.9514682,0.04491958,0.0004100863,0.0009775413,0.00001230422],"study_design_scores_gemma":[0.001193899,0.00007045044,0.0000560243,0.000313547,0.00003313915,0.000008324972,0.0002865788,0.9814323,0.01306252,0.000007676924,0.003018928,0.0005165811],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3161679,0.002136802,0.6774348,0.0000219512,0.002824778,0.0005643719,0.0001373005,0.0005284487,0.0001836684],"genre_scores_gemma":[0.9729778,0.00004940278,0.02640894,0.00003515965,0.0000791691,0.0001113329,0.00005707871,0.0001246016,0.0001564787],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.65681,"threshold_uncertainty_score":0.9998122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008874309575853943,"score_gpt":0.2286422317348905,"score_spread":0.2197679221590365,"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."}}