{"id":"W4255277418","doi":"10.32920/ryerson.14646195","title":"System-Wide Enhancement Of Distribution System Voltage Stability Operations","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Control theory (sociology); Voltage; Transformer; Compensation (psychology); Voltage regulation; Stability (learning theory); Electric power system; Computer science; Voltage optimisation; Control engineering; Engineering; Power (physics); Reliability engineering; Control (management); 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":[0.0003952954,0.0004588233,0.0003158055,0.0002828343,0.0002099331,0.0007743351,0.0002409069,0.0001665881,0.00171162],"category_scores_gemma":[0.0007542303,0.00009958918,0.0001785167,0.0002566678,0.0001593234,0.0005117272,0.000574119,0.0003391422,0.0003256888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002564611,"about_ca_system_score_gemma":0.0003456103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003644111,"about_ca_topic_score_gemma":0.0005172559,"domain_scores_codex":[0.999786,0.0000610658,0.000008439293,0.00005161673,0.00006436629,0.00002853395],"domain_scores_gemma":[0.9997728,0.00006505359,0.00003629715,0.00004619083,0.0000661982,0.00001337463],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002306555,0.0002276963,0.003585804,0.0002175652,0.00006141298,0.000209473,0.0002117967,0.3980468,0.1672134,0.01888715,0.001255529,0.4098528],"study_design_scores_gemma":[0.0000319524,0.0004779976,0.003102259,0.00002487917,0.00004894354,0.0001674697,0.00008793797,0.9019611,0.08039621,0.006231373,0.007457973,0.00001189818],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3818255,0.0004100383,0.5863479,0.0002250242,0.00004321363,0.0001405524,0.00007843313,0.001288772,0.02964058],"genre_scores_gemma":[0.9759854,0.00009245035,0.02239333,0.000008744232,0.00001437041,0.0000172166,0.00002944561,0.00003543019,0.001423648],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00171162,"threshold_uncertainty_score":0.00572592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01301949720232148,"score_gpt":0.2173414659129813,"score_spread":0.2043219687106598,"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."}}