{"id":"W8152510","doi":"10.5555/1999416.1999417","title":"Integration of induction generator dynamics in multimachine system transient analysis","year":2010,"lang":"en","type":"article","venue":"Summer Computer Simulation Conference","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Induction generator; Control theory (sociology); Transient (computer programming); Electric power system; Permanent magnet synchronous generator; Asynchronous communication; Slip (aerodynamics); Computer science; Control engineering; Controller (irrigation); Transient response; Engineering; Wind power; Power (physics); Voltage; Physics; Electrical engineering; Control (management); Aerospace 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":[],"consensus_categories":[],"category_scores_codex":[0.0002067671,0.0001247154,0.0002496449,0.000325072,0.00002294056,0.0000328767,0.00009545643,0.0001002399,0.00003711851],"category_scores_gemma":[0.000009310802,0.000124108,0.00006903696,0.0006203333,0.00002037077,0.0001696956,0.000009725747,0.0001652434,0.000002673224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001072647,"about_ca_system_score_gemma":0.00001771658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000910667,"about_ca_topic_score_gemma":0.002213234,"domain_scores_codex":[0.9990475,0.00005947189,0.0004590966,0.0001817463,0.0001425611,0.0001096949],"domain_scores_gemma":[0.9994007,0.0000455451,0.00006782524,0.0002376115,0.0002030973,0.00004521915],"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":[0.000004998519,0.0000236036,0.01137111,0.0000421853,0.00004103727,2.844861e-7,0.0004510837,0.9796151,0.001290781,0.001676431,0.000002175079,0.005481192],"study_design_scores_gemma":[0.0002372536,0.000009242032,0.03603885,0.00001540518,0.00002979124,3.243413e-7,0.00005985114,0.9631123,0.0003579448,0.000004569561,0.00002680179,0.000107662],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3808237,0.000004308954,0.6182089,0.000007773369,0.000510566,0.0001195408,0.00001473512,0.00007904194,0.0002314224],"genre_scores_gemma":[0.988001,9.328745e-7,0.01183455,0.000004545882,0.00002625644,0.000007733574,0.0001110437,0.000009065832,0.000004908668],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6071773,"threshold_uncertainty_score":0.5060976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01984656679127562,"score_gpt":0.2501127566982829,"score_spread":0.2302661899070073,"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."}}