{"id":"W2965657807","doi":"10.11159/eee19.120","title":"Optimal Operation of GENCOs in Competitive Electricity Markets","year":2019,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Electrical Engineering and Computer Systems and Science","topic":"Electric Power System Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Electricity; Computer science; Engineering; Electrical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.00039864,0.0001337298,0.0002681335,0.0003909915,0.00003591682,0.00007044843,0.0002450311,0.00003753312,5.955808e-7],"category_scores_gemma":[0.00002265815,0.0001055531,0.00002212783,0.001239569,0.0000470478,0.0001912417,0.00005069061,0.0001651551,3.288534e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000695563,"about_ca_system_score_gemma":0.00002053448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000899008,"about_ca_topic_score_gemma":7.516101e-7,"domain_scores_codex":[0.9989626,0.000006572592,0.0002912007,0.0002243625,0.0002741295,0.0002411689],"domain_scores_gemma":[0.9996102,0.00007279049,0.00007434401,0.00007572427,0.0001144127,0.00005250653],"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":[0.00004712538,0.00006424396,0.01880375,0.0008265832,0.00003795476,8.73051e-7,0.0002704193,0.8559338,0.05542471,0.06599453,0.0001570679,0.002438937],"study_design_scores_gemma":[0.0002220652,0.00009097282,0.009408271,0.0002658086,0.000003757893,0.00001201766,0.000005228459,0.9784692,0.01133807,0.000002663063,0.00006762184,0.0001143253],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995446,0.0004321432,0.002018613,0.00001556958,0.0006619384,0.0003906871,0.000001006061,0.00004989683,0.0009841197],"genre_scores_gemma":[0.9993725,0.00003601682,0.0004571203,0.000004871092,0.00002841964,0.00001059961,1.202451e-7,0.000009756941,0.00008053095],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1225354,"threshold_uncertainty_score":0.4304329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003136894018198836,"score_gpt":0.1765555779710972,"score_spread":0.1734186839528984,"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."}}