{"id":"W2343155044","doi":"10.1109/tsg.2016.2559486","title":"Online Determination of External Network Models Using Synchronized Phasor Data","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Thévenin's theorem; Phasor; Equivalent circuit; Electric power system; Noise (video); Voltage; Control theory (sociology); Computer science; Least-squares function approximation; Estimation theory; Identification (biology); Process (computing); Noise measurement; Electronic engineering; Power (physics); Engineering; Mathematics; Algorithm; Electrical 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":[0.0002556427,0.001012344,0.000703242,0.000606754,0.0002037189,0.0007568312,0.0006077914,0.0004275609,0.001571271],"category_scores_gemma":[0.001935838,0.0004136963,0.0002994715,0.000407556,0.0002306369,0.001740435,0.0006278433,0.0006980381,0.0006796404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002298304,"about_ca_system_score_gemma":0.0002739227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001123379,"about_ca_topic_score_gemma":0.001747219,"domain_scores_codex":[0.9995809,0.0001066195,0.00002100124,0.000119428,0.0001528767,0.00001917036],"domain_scores_gemma":[0.9995924,0.0001346968,0.00008905271,0.0001045423,0.00006555136,0.00001387678],"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":[0.0001390588,0.00009278559,0.002949188,0.0001888963,0.00007881462,0.0002533743,0.0001612505,0.7165923,0.03684807,0.00655773,0.001306843,0.2348317],"study_design_scores_gemma":[0.000008587056,0.00002323811,0.0006581188,0.00000749355,0.000006548544,0.00004829066,0.00001262302,0.9915039,0.005003172,0.001558044,0.001161426,0.000008636045],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01445762,0.00004029265,0.983717,0.00001576146,0.00001121197,0.00001792544,0.0000812813,0.0008400349,0.0008189846],"genre_scores_gemma":[0.7995507,0.0002491722,0.1970374,0.00003380371,0.00003115483,0.0001180187,0.0005537953,0.000324282,0.002101662],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001571271,"threshold_uncertainty_score":0.005256414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05752923965706831,"score_gpt":0.2729563547846958,"score_spread":0.2154271151276275,"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."}}