{"id":"W1864335696","doi":"10.1109/peds.1997.627508","title":"Intelligent autonomous control of a unified power flow controller","year":2002,"lang":"en","type":"article","venue":"","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Unified power flow controller; Control engineering; Controller (irrigation); Control theory (sociology); Electric power system; Computer science; Intelligent control; Hierarchical control system; Control system; Adaptation (eye); Power (physics); Control (management); Power flow; Engineering; 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":[0.0003389636,0.0003365982,0.0003080313,0.0002800889,0.0003524485,0.0008171755,0.0005015224,0.0003068235,0.001204885],"category_scores_gemma":[0.000573296,0.0001244337,0.0002250824,0.0001646696,0.0004947735,0.0004757298,0.000293868,0.0004889913,0.0002106536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000369017,"about_ca_system_score_gemma":0.0006416491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003020707,"about_ca_topic_score_gemma":0.003241556,"domain_scores_codex":[0.9997419,0.00003497628,0.00001095192,0.00005366215,0.000116407,0.00004208036],"domain_scores_gemma":[0.9997323,0.00006284028,0.00004631767,0.00004829739,0.00008519717,0.0000249118],"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":[0.0003253658,0.0002634315,0.002343453,0.0001413811,0.00008248718,0.0003759891,0.0003389156,0.5311673,0.1602298,0.07775372,0.004462342,0.2225158],"study_design_scores_gemma":[0.00003673709,0.0001506708,0.000751121,0.000004540837,0.00001783589,0.00004718648,0.00001179884,0.97994,0.01064521,0.003987258,0.004392901,0.0000147542],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1230982,0.0002630551,0.8567773,0.000106932,0.000107853,0.0001025172,0.00004725107,0.001587556,0.01790933],"genre_scores_gemma":[0.9630422,0.00006690816,0.03465039,0.00003293446,0.00002993645,0.00005286232,0.00003797015,0.00001771703,0.002069151],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003020707,"threshold_uncertainty_score":0.006006241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01108182482855687,"score_gpt":0.1904485253135902,"score_spread":0.1793667004850333,"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."}}