{"id":"W4252095890","doi":"10.32920/ryerson.14649300","title":"Electricity market efficiency and voltage stability","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":"Natural Sciences and Engineering Research Council of Canada; Cairo University","keywords":"Electricity market; Electricity; Restructuring; Electric power system; Schedule; Voltage; Deregulation; Stand-alone power system; Computer science; Work (physics); Power (physics); Business; Economics; Electrical engineering; Engineering; Finance; Market economy; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008727579,0.0002688873,0.0002591553,0.0006408756,0.0002542844,0.001402076,0.0002578372,0.0004755401,0.004263424],"category_scores_gemma":[0.007459326,0.0001595114,0.0001770268,0.0008910231,0.0007764413,0.001276752,0.0004930668,0.000417352,0.0003225838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009973628,"about_ca_system_score_gemma":0.0004767199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00144281,"about_ca_topic_score_gemma":0.001144623,"domain_scores_codex":[0.9993957,0.0002858123,0.0000168454,0.00007955833,0.0001351513,0.0000870087],"domain_scores_gemma":[0.9979074,0.001470545,0.0002749158,0.00006892283,0.0002282912,0.00004995614],"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":[0.00005188085,0.00003755984,0.003567838,0.00005019083,0.00002182829,0.0001286473,0.0001273325,0.5345336,0.002059881,0.4237707,0.001828997,0.03382163],"study_design_scores_gemma":[0.00001439777,0.00005646,0.003777334,0.00003036629,0.00001015731,0.0001053636,0.0001487033,0.7768399,0.001421908,0.2129157,0.004665136,0.00001464865],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3408767,0.001645017,0.4904688,0.001994083,0.00006452756,0.00006622518,0.0002270703,0.0001566898,0.1645009],"genre_scores_gemma":[0.9905947,0.0002930414,0.004853115,0.00002674209,0.00002369724,0.00001638686,0.00003472797,0.00003112232,0.004126429],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004263424,"threshold_uncertainty_score":0.01426262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01018868280977394,"score_gpt":0.203278000674497,"score_spread":0.1930893178647231,"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."}}