{"id":"W2979611679","doi":"10.1109/sege.2019.8859778","title":"Simulated Testing Algorithm for µPMU Full Observation of Balanced Radial Distribution Grid","year":2019,"lang":"en","type":"article","venue":"","topic":"Optimal Power Flow Distribution","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Phasor; Grid; AC power; Voltage; Algorithm; Computer science; Power (physics); Distribution grid; Units of measurement; Electric power system; Phasor measurement unit; Power flow; Distributed generation; Electrical engineering; Flow (mathematics); Electronic engineering; Engineering; Mathematics; Renewable energy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000120801,0.0001215589,0.0001708406,0.00002513561,0.00002434902,0.00001542643,0.00007620015,0.00009480598,0.00004037174],"category_scores_gemma":[0.00009061905,0.0001285749,0.00005467971,0.0002519313,0.00001108394,0.0002016994,0.00001233034,0.00006881013,0.00003188366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001215566,"about_ca_system_score_gemma":0.00001453147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001744231,"about_ca_topic_score_gemma":0.000001303033,"domain_scores_codex":[0.9992441,0.000007918219,0.000275158,0.000141695,0.0001144318,0.0002166849],"domain_scores_gemma":[0.9994625,0.0001221789,0.00005091839,0.0001448905,0.000180104,0.00003942962],"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":[0.00007554179,0.00008114966,0.007083332,0.0002955032,0.00008782417,7.424122e-7,0.00003755051,0.6532969,0.2517786,0.0007029047,0.003980073,0.08257987],"study_design_scores_gemma":[0.000777435,0.0001424999,0.00844763,0.0000242655,0.00001402292,9.314147e-7,0.000009556139,0.9709745,0.01823685,0.00005265924,0.001172749,0.000146907],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5073318,0.00001764947,0.4905832,0.00001062727,0.0005869734,0.000389983,0.0005634914,0.0002661888,0.0002501069],"genre_scores_gemma":[0.9724112,0.000001859048,0.02472126,0.000007197812,0.0001238445,0.000009774092,0.002663707,0.00002079059,0.00004043882],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.465862,"threshold_uncertainty_score":0.5243133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01396118700782126,"score_gpt":0.2182938306777521,"score_spread":0.2043326436699309,"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."}}