{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005372301,0.0002583205,0.000391396,0.00006166613,0.00004328381,0.0001498923,0.0001592129,0.0002626354,0.001936922],"category_scores_gemma":[0.0001398897,0.0002552929,0.00008974451,0.0001722179,0.00003810273,0.00006035345,0.0002616188,0.000431468,0.000003323792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001424031,"about_ca_system_score_gemma":0.00007455097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005027896,"about_ca_topic_score_gemma":0.00007708425,"domain_scores_codex":[0.9986344,0.00008859517,0.0003740961,0.0004636916,0.0001862892,0.0002529025],"domain_scores_gemma":[0.9990429,0.00008754348,0.00003464242,0.0006097493,0.0001026359,0.0001224853],"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":[0.000253852,0.003240123,0.2938253,0.05831093,0.002212163,0.0002346211,0.02033094,0.5109067,0.0124189,0.003969696,0.06513941,0.02915741],"study_design_scores_gemma":[0.0002213845,0.00001420681,0.01511641,0.00005486228,0.00002753999,0.000006165419,0.000191176,0.9799715,0.002294661,0.0001151523,0.001373036,0.000613855],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.201926,0.001455996,0.6721622,0.00002411854,0.0008190229,0.0004632404,0.00004157189,0.0007314428,0.1223764],"genre_scores_gemma":[0.998273,0.0001733203,0.001111129,0.00001734604,0.00001539411,0.00002695338,0.00002610248,0.00002316096,0.0003336438],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.796347,"threshold_uncertainty_score":0.9999899,"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."}}