{"id":"W4247150827","doi":"10.1515/energyo.0034.00144","title":"A Decentralized Multivariable Robust Adaptive Voltage and Speed Regulator for Large-Scale Power Systems","year":2018,"lang":"en","type":"dataset","venue":"energyo","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure; Royal Military College of Canada","funders":"","keywords":"Multivariable calculus; Regulator; Control theory (sociology); Scale (ratio); Power (physics); Voltage regulator; Computer science; Voltage; Control engineering; Engineering; Control (management); Biology; Electrical engineering; Geography; Physics; Artificial intelligence; Cartography","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":[0.0009849018,0.002553052,0.001381774,0.001286881,0.000538505,0.001146899,0.003108856,0.002219492,0.02223868],"category_scores_gemma":[0.00482332,0.0004774004,0.001447088,0.001712426,0.0003483662,0.0007037263,0.00126569,0.001292164,0.01659456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009508791,"about_ca_system_score_gemma":0.001621442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0267849,"about_ca_topic_score_gemma":0.05092289,"domain_scores_codex":[0.9992337,0.0001655949,0.00006439525,0.000194062,0.0002265291,0.0001155685],"domain_scores_gemma":[0.9986175,0.0004844374,0.00009222515,0.0004370284,0.0002987679,0.0000699222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004299009,0.0002559316,0.002500042,0.001249378,0.000169841,0.0001002665,0.00001673335,0.03185659,0.0003447441,0.0008996568,0.9356821,0.02649479],"study_design_scores_gemma":[0.003993804,0.0004623468,0.01636615,0.0006985188,0.0004644413,0.0004396408,0.0001818627,0.2749945,0.003562468,0.01840352,0.6802667,0.0001660148],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.007559046,0.001008969,0.004556039,0.0008259151,0.0002955993,0.0001389503,0.9774949,0.004927982,0.003192534],"genre_scores_gemma":[0.01463493,0.0002789852,0.004087603,0.0001569542,0.00004352745,0.0002875599,0.9785649,0.0001486199,0.001796986],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0267849,"threshold_uncertainty_score":0.07439578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.011829457104321,"score_gpt":0.2155750105955923,"score_spread":0.2037455534912713,"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."}}