{"id":"W2026019324","doi":"10.1109/epec.2011.6070200","title":"A transformation technique for decoupling power networks","year":2011,"lang":"en","type":"article","venue":"","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Decoupling (probability); Transformation (genetics); Computer science; Control engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004379424,0.0006099656,0.0003427158,0.0006929669,0.0004589272,0.0006488462,0.0004387456,0.0003857154,0.004243574],"category_scores_gemma":[0.001358368,0.0002158479,0.0006850848,0.0009742652,0.0008565489,0.001487957,0.0008523185,0.001592728,0.0016173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003031716,"about_ca_system_score_gemma":0.000460648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005597672,"about_ca_topic_score_gemma":0.0004930574,"domain_scores_codex":[0.9996631,0.00008852199,0.00002059021,0.00007746456,0.0001286708,0.00002158779],"domain_scores_gemma":[0.9997416,0.0001027109,0.00002639514,0.00005810151,0.00005964459,0.00001165256],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001023905,0.00005085441,0.0003198168,0.0001612003,0.00004648377,0.0003825151,0.0004165992,0.04928621,0.05054893,0.6082985,0.005301965,0.2850846],"study_design_scores_gemma":[0.00006485062,0.0002041459,0.0004570974,0.00005911832,0.00006182768,0.001378928,0.0001532747,0.425124,0.03276221,0.4198768,0.1198074,0.00005039553],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001801406,0.00006345627,0.9946241,0.00005648715,0.00004460778,0.00001926249,0.00002421559,0.0001242835,0.003242202],"genre_scores_gemma":[0.163198,0.0007767958,0.8239159,0.0002498708,0.000204929,0.0002023153,0.0002776248,0.00036166,0.0108129],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004243574,"threshold_uncertainty_score":0.01419622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01680832872149417,"score_gpt":0.2103191192344914,"score_spread":0.1935107905129972,"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."}}