{"id":"W2005790804","doi":"10.1109/tpwrd.2005.852301","title":"A Platform for Validation of FACTS Models","year":2005,"lang":"en","type":"article","venue":"IEEE Transactions on Power Delivery","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":157,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Transient (computer programming); Controller (irrigation); Control engineering; Electric power system; Stability (learning theory); Power flow; Computer science; Transmission system; SIGNAL (programming language); Electronic engineering; Engineering; Flexible AC transmission system; Model validation; Transmission (telecommunications); Control theory (sociology); Power (physics); Electrical engineering; 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":[],"consensus_categories":[],"category_scores_codex":[0.00009866558,0.0001174334,0.0001525109,0.0001233396,0.00005046829,0.0000134015,0.00007647902,0.000084518,0.00014504],"category_scores_gemma":[0.000001618007,0.0001229858,0.0001173352,0.0001120993,0.00001616068,0.0003935309,2.830758e-7,0.00007440009,0.00002053544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009075787,"about_ca_system_score_gemma":0.00001883486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004942588,"about_ca_topic_score_gemma":0.00001340993,"domain_scores_codex":[0.9993033,0.000008868013,0.0002829835,0.0001272747,0.0001304676,0.0001471011],"domain_scores_gemma":[0.9995608,0.00006472726,0.00002963983,0.0001976694,0.00009056131,0.0000565956],"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":[0.00003483022,0.00006694107,9.527119e-7,0.00003725364,0.00003617308,8.598843e-8,0.0005187889,0.9957614,0.0009935333,0.00006394256,0.0002435023,0.002242608],"study_design_scores_gemma":[0.0006778706,0.00008041239,0.00001029471,0.00002863266,0.00002885377,0.000002349038,0.00009521242,0.8194296,0.1773368,0.0001004736,0.002012633,0.0001969149],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07985528,0.00003569368,0.9164314,0.0000228827,0.0004502279,0.0002891397,0.0001334921,0.0001791725,0.002602757],"genre_scores_gemma":[0.996349,0.00002885089,0.003363961,0.00002927785,0.000007052588,0.00004478653,0.000006031087,0.00002254236,0.0001485379],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9164937,"threshold_uncertainty_score":0.5015218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02389871288929596,"score_gpt":0.2230846077369881,"score_spread":0.1991858948476921,"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."}}