{"id":"W2168333859","doi":"10.1109/ccece.2008.4564558","title":"Optimal PMU placement for power system observability considering secondary voltage control","year":2008,"lang":"en","type":"article","venue":"Conference proceedings - Canadian Conference on Electrical and Computer Engineering","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Observability; Phasor; Control theory (sociology); Electric power system; Constraint (computer-aided design); Transformation (genetics); Phasor measurement unit; Mathematical optimization; Computer science; Topology (electrical circuits); Power (physics); Engineering; Mathematics; Control (management); Electrical engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002357862,0.0004654528,0.0005872177,0.0002680895,0.0002406797,0.0002192714,0.0002736385,0.0002134273,0.00006100703],"category_scores_gemma":[0.00005346377,0.0004915353,0.00009809011,0.0002543562,0.0000682502,0.0002537917,0.00002853109,0.0004264041,0.000008798463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004620966,"about_ca_system_score_gemma":0.0003822116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002440163,"about_ca_topic_score_gemma":0.0001407483,"domain_scores_codex":[0.9977952,0.00001043774,0.0005131029,0.0005881103,0.0002201544,0.0008730462],"domain_scores_gemma":[0.9985068,0.0001099478,0.00005753745,0.0001831967,0.0003585136,0.0007839868],"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":[0.0007373534,0.0004549039,0.03592876,0.008301874,0.00176208,0.0003562994,0.01322637,0.4296275,0.009028618,0.4626696,0.01587661,0.02203003],"study_design_scores_gemma":[0.0009144662,0.0002441344,0.003544331,0.0001251046,0.00001708526,0.00008470631,0.00008875698,0.9914794,0.0002297382,0.00002095694,0.002688348,0.0005629502],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.219989,0.0002083968,0.7739145,0.000156087,0.0005954604,0.001170628,0.0001059619,0.0008144742,0.003045449],"genre_scores_gemma":[0.9967175,0.00002258834,0.002788857,0.0001242477,0.00006163103,0.0001854648,0.00001132325,0.00004757383,0.00004088315],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7767284,"threshold_uncertainty_score":0.9997537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01504908400709812,"score_gpt":0.1802971310862267,"score_spread":0.1652480470791286,"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."}}