{"id":"W2158376392","doi":"10.1287/opre.2013.1190","title":"Optimal Economic Dispatch and Risk Management of Thermal Power Plants in Deregulated Markets","year":2013,"lang":"en","type":"article","venue":"Operations Research","topic":"Electric Power System Optimization","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Mathematical optimization; Volatility (finance); Valuation (finance); Econometrics; Risk management; Economics; Spot contract; Computer science; Mathematics; Financial economics; Futures contract","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":[0.0003990872,0.00006769595,0.00009343241,0.0002046929,0.00006066925,0.00006769513,0.0001018832,0.00004866302,0.0003741813],"category_scores_gemma":[0.000007177375,0.00006648563,0.000009748225,0.0001517381,0.00002680003,0.0002044407,0.00004528618,0.0001357022,0.00008973196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009728286,"about_ca_system_score_gemma":0.00001607194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004634046,"about_ca_topic_score_gemma":0.0001247216,"domain_scores_codex":[0.9992173,0.0001101284,0.0001951334,0.0001282578,0.000126051,0.000223109],"domain_scores_gemma":[0.9996938,0.00004192059,0.000006902616,0.000173234,0.00004113845,0.00004297995],"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":[0.000009526389,0.00002824953,0.008118199,0.0000454281,0.0000712488,0.00000371429,0.000394572,0.9851041,0.001365326,0.0003215052,0.000656389,0.003881753],"study_design_scores_gemma":[0.0003196704,0.00002130881,0.1231312,0.00003849995,0.00000224336,0.000002127983,0.0001684947,0.8753594,0.0008350151,0.000008749423,0.00003848779,0.00007481859],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903777,0.0002583927,0.00151061,0.00002597842,0.00003782922,0.0005056707,0.000009315023,0.00002349394,0.007251052],"genre_scores_gemma":[0.9962276,0.0005712336,0.002615111,6.145602e-7,0.000006004471,0.0001087326,0.00001161895,0.00001642883,0.0004426297],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.115013,"threshold_uncertainty_score":0.4097023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01037765818446995,"score_gpt":0.2581958759110573,"score_spread":0.2478182177265874,"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."}}