{"id":"W2312298105","doi":"10.2316/journal.203.2012.2.203-4846","title":"OPTIMAL VAR PLANNING USING FACTS","year":2012,"lang":"en","type":"article","venue":"International Journal of Power and Energy Systems","topic":"Evolutionary Algorithms and Applications","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Thyristor; Unified power flow controller; Control theory (sociology); Power flow; Capacitor; AC power; Static VAR compensator; Electric power system; Controller (irrigation); Series (stratigraphy); Computer science; Control engineering; Power (physics); Engineering; Control (management); Voltage; Electrical engineering; Physics; Artificial intelligence; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002803139,0.0005771753,0.0005222213,0.0005065741,0.0002697629,0.0006998375,0.0004888845,0.0005919783,0.002525253],"category_scores_gemma":[0.0008137856,0.0004097614,0.0003913077,0.0004985898,0.000227188,0.0005221497,0.0003168904,0.0004790851,0.0002382774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004144799,"about_ca_system_score_gemma":0.0005252761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003244065,"about_ca_topic_score_gemma":0.004058424,"domain_scores_codex":[0.9998429,0.0000514406,0.000006077341,0.00003333344,0.00004012591,0.00002605419],"domain_scores_gemma":[0.999827,0.00009792455,0.00002143129,0.000009336993,0.00003256778,0.00001176285],"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":[0.00002395609,0.0000151412,0.0001268615,0.00002437711,0.00001093387,0.00004952753,0.00001322151,0.9697271,0.0006151178,0.007415684,0.0004586278,0.02151939],"study_design_scores_gemma":[0.000006124787,0.00001926508,0.00005524603,0.000006854617,0.000005842296,0.00001419962,0.000007749386,0.9930943,0.0002550641,0.005881756,0.0006503778,0.00000325045],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02729471,0.0004185274,0.9553862,0.0002258936,0.00005488969,0.00004507109,0.00007947652,0.0001954493,0.01629975],"genre_scores_gemma":[0.877828,0.0003695413,0.116124,0.00006837703,0.00003840278,0.00008470972,0.000103086,0.00006057038,0.005323308],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003244065,"threshold_uncertainty_score":0.008447766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02211861090770069,"score_gpt":0.2816243797768868,"score_spread":0.2595057688691861,"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."}}