{"id":"W4256385187","doi":"10.1002/047134608x.w6127.pub2","title":"Excitation Control in Power Systems","year":2017,"lang":"en","type":"other","venue":"Wiley Encyclopedia of Electrical and Electronics Engineering","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Control theory (sociology); Electric power system; Excitation; Generator (circuit theory); Nonlinear system; SIGNAL (programming language); Power (physics); Stability (learning theory); Computer science; Permanent magnet synchronous generator; Control engineering; Control system; Voltage; Control (management); Engineering; Electrical engineering; Physics; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002442198,0.0004738031,0.0003274566,0.0003952355,0.0002774635,0.00112584,0.0003677201,0.0006491696,0.006420542],"category_scores_gemma":[0.0005566883,0.0001125768,0.0001306734,0.0007127438,0.0006507945,0.0006637191,0.0005753455,0.0007063292,0.0009183647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000446898,"about_ca_system_score_gemma":0.0002938756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009256864,"about_ca_topic_score_gemma":0.000583653,"domain_scores_codex":[0.9997965,0.00005166811,0.00001192816,0.00004178042,0.00008518776,0.00001293644],"domain_scores_gemma":[0.9998641,0.00006277453,0.0000172385,0.00001415585,0.00003475289,0.000006921493],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000471215,0.00005010712,0.0003866978,0.00053162,0.00002540209,0.0002955578,0.0001928886,0.1363869,0.007463853,0.4110101,0.0135448,0.430065],"study_design_scores_gemma":[0.00003668807,0.0002007631,0.0008103218,0.0004606569,0.00003083235,0.0004591618,0.0001449221,0.3852431,0.005405488,0.3749347,0.2322256,0.0000477304],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.0191905,0.06015233,0.7185515,0.002372105,0.001270211,0.00008094499,0.0001056406,0.0005378751,0.1977389],"genre_scores_gemma":[0.8060023,0.05179939,0.05277386,0.0004615356,0.001207957,0.0001268622,0.0001629333,0.00009886199,0.08736626],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.006420542,"threshold_uncertainty_score":0.02147889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002794248306360782,"score_gpt":0.1822238124677006,"score_spread":0.1794295641613398,"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."}}